Publications

Zhou, Keren, Yueming Hao, John Mellor-Crummey, Xiaozhu Meng, and Xu Liu. 2022. “ValueExpert: Exploring Value Patterns in GPU-Accelerated Applications.” Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, February. https://doi.org/10.1145/3503222.3507708.

Trivedi, P., J. Dominski, C. S. Chang, and S. Ku. 2022. “Toward the Core-Edge Coupling of Delta-f and Total-f Gyrokinetic Models.” Physics of Plasmas 29 (3): 032301. https://doi.org/10.1063/5.0077557.

Fullmer, William D., Roberto Porcu, Jordan Musser, Ann S. Almgren, and Ishan Srivastava. 2022. “The Divergence of Nearby Trajectories in Soft-Sphere DEM.” Particuology 63 (April): 1–8. https://doi.org/10.1016/j.partic.2021.06.008.

Fullmer, William D., Roberto Porcu, Jordan Musser, Ann S. Almgren, and Ishan Srivastava. 2022. “The Divergence of Nearby Trajectories in Soft-Sphere DEM.” Particuology 63 (April): 1–8. https://doi.org/10.1016/j.partic.2021.06.008.

Świrydowicz, Kasia, Eric Darve, Wesley Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, and Slaven Peleš. 2022. “Linear Solvers for Power Grid Optimization Problems: A Review of GPU-Accelerated Linear Solvers.” Parallel Computing 111 (July): 102870. https://doi.org/10.1016/j.parco.2021.102870.

Garmon, Andrew, Vinay Ramakrishnaiah, and Danny Perez. 2022. “Resource Allocation for Task-Level Speculative Scientific Applications: A Proof of Concept Using Parallel Trajectory Splicing.” Parallel Computing 112 (September): 102936. https://doi.org/10.1016/j.parco.2022.102936.

Cojean, Terry, Yu-Hsiang Mike Tsai, and Hartwig Anzt. 2022. “Ginkgo—A Math Library Designed for Platform Portability.” Parallel Computing 111 (July): 102902. https://doi.org/10.1016/j.parco.2022.102902.

Yu, Jiankai, and Benoit Forget. 2022. “Verification of Depletion Capability of OpenMC Using VERA Depletion Benchmark.” Annals of Nuclear Energy 170 (June): 108973. https://doi.org/10.1016/j.anucene.2022.108973.

Ghysels, Pieter, and Ryan Synk. 2022. “High Performance Sparse Multifrontal Solvers on Modern GPUs.” Parallel Computing 110 (May): 102897. https://doi.org/10.1016/j.parco.2022.102897.

Poole, David, Jorge L. Galvez Vallejo, and Mark S. Gordon. 2022. “A Task-Based Approach to Parallel Restricted Hartree–Fock Calculations.” Journal of Chemical Theory and Computation 18 (4): 2144–61. https://doi.org/10.1021/acs.jctc.1c00820.

Zhou, Keren, Mark W. Krentel, and John Mellor-Crummey. 2020. “Tools for Top-down Performance Analysis of GPU-Accelerated Applications.” Proceedings of the 34th ACM International Conference on Supercomputing, June. https://doi.org/10.1145/3392717.3392752.

Zhou, Keren, Xiaozhu Meng, Ryuichi Sai, and John Mellor-Crummey. 2021. “GPA: A GPU Performance Advisor Based on Instruction Sampling.” 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), February. https://doi.org/10.1109/cgo51591.2021.9370339.

Meng, Xiaozhu, Jonathon M. Anderson, John Mellor-Crummey, Mark W. Krentel, Barton P. Miller, and Srđan Milaković. 2021. “Parallel Binary Code Analysis.” Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, February. https://doi.org/10.1145/3437801.3441604.

Underwood, Robert, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, and Franck Cappello. 2021. “Productive and Performant Generic Lossy Data Compression with LibPressio.” 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7), November. https://doi.org/10.1109/drbsd754563.2021.00005.

Underwood, Robert, Jon C. Calhoun, Sheng Di, Amy Apon, and Franck Cappello. 2022. “OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration.” IEEE Transactions on Parallel and Distributed Systems 33 (12): 3505–19. https://doi.org/10.1109/tpds.2022.3154096.

Germaschewski, K., B. Allen, T. Dannert, M. Hrywniak, J. Donaghy, G. Merlo, S. Ethier, E. D’Azevedo, F. Jenko, and A. Bhattacharjee. 2021. “Toward Exascale Whole-Device Modeling of Fusion Devices: Porting the GENE Gyrokinetic Microturbulence Code to GPU.” Physics of Plasmas 28 (6): 062501. https://doi.org/10.1063/5.0046327.

Zhong, Dong, Qinglei Cao, George Bosilca, and Jack Dongarra. 2022. “Using Long Vector Extensions for MPI Reductions.” Parallel Computing 109 (March): 102871. https://doi.org/10.1016/j.parco.2021.102871.

Anzt, Hartwig, Terry Cojean, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yuhsiang Mike Tsai, and Enrique S. Quintana-Ortí. 2022. “Ginkgo  : A Modern Linear Operator Algebra Framework for High Performance Computing.” ACM Transactions on Mathematical Software 48 (1): 1–33. https://doi.org/10.1145/3480935.

Yang, Carl, Aydın Buluç, and John D. Owens. 2022. “GraphBLAST: A High-Performance Linear Algebra-Based Graph Framework on the GPU.” ACM Transactions on Mathematical Software 48 (1): 1–51. https://doi.org/10.1145/3466795.

Frontiere, Nicholas, Katrin Heitmann, Esteban Rangel, Patricia Larsen, Adrian Pope, Imran Sultan, Thomas Uram, Salman Habib, Silvio Rizzi, and Joe Insley. 2022. “Farpoint: A High-Resolution Cosmology Simulation at the Gigaparsec Scale.” The Astrophysical Journal Supplement Series 259 (1): 15. https://doi.org/10.3847/1538-4365/ac43b9.

Bogle, Ian, George M. Slota, Erik G. Boman, Karen D. Devine, and Sivasankaran Rajamanickam. 2022. “Parallel Graph Coloring Algorithms for Distributed GPU Environments.” Parallel Computing 110 (May): 102896. https://doi.org/10.1016/j.parco.2022.102896.

Knaus, Robert. 2022. “A Fast Matrix-Free Approach to the High-Order Control Volume Finite Element Method with Application to Low-Mach Flow.” Computers & Fluids 239 (May): 105408. https://doi.org/10.1016/j.compfluid.2022.105408.

Gawande, Nitin, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, and Ananth Kalyanaraman. 2022. “Towards Scaling Community Detection on Distributed-Memory Heterogeneous Systems.” Parallel Computing 111 (July): 102898. https://doi.org/10.1016/j.parco.2022.102898.

Iwabuchi, Keita, Karim Youssef, Kaushik Velusamy, Maya Gokhale, and Roger Pearce. 2022. “Metall: A Persistent Memory Allocator for Data-Centric Analytics.” Parallel Computing 111 (July): 102905. https://doi.org/10.1016/j.parco.2022.102905.

Slattery, Stuart, Samuel Temple Reeve, Christoph Junghans, Damien Lebrun-Grandié, Robert Bird, Guangye Chen, Shane Fogerty, et al. 2022. “Cabana: A Performance Portable Library for Particle-Based Simulations.” Journal of Open Source Software 7 (72): 4115. https://doi.org/10.21105/joss.04115.

Shudler, Sergei, Steve Petruzza, Valerio Pascucci, and Peer-Timo Bremer. 2021. “Portable and Composable Flow Graphs for In Situ Analytics.” 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), October. https://doi.org/10.1109/ldav53230.2021.00014.

Marsaglia, Nicole, Yuya Kawakami, Samuel D. Schwartz, Stefan Fields, and Hank Childs. 2021. “An Entropy-Based Approach for Identifying User-Preferred Camera Positions.” 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), October. https://doi.org/10.1109/ldav53230.2021.00015.

Larsen, Matthew, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, and Hank Childs. 2021. “Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.” 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), October. https://doi.org/10.1109/ldav53230.2021.00010.

Sane, Sudhanshu, Chris R. Johnson, and Hank Childs. 2022. “Demonstrating the Viability of Lagrangian in Situ Reduction on Supercomputers.” Journal of Computational Science 61 (May): 101615. https://doi.org/10.1016/j.jocs.2022.101615.

Dutta, Soumya, Humayra Tasnim, Terece L. Turton, and James Ahrens. 2021. “In Situ Adaptive Spatio-Temporal Data Summarization.” 2021 IEEE International Conference on Big Data (Big Data), December. https://doi.org/10.1109/bigdata52589.2021.9671581.

Priedhorsky, Reid, R. Shane Canon, Timothy Randles, and Andrew J. Younge. 2021. “Minimizing Privilege for Building HPC Containers.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3458817.3476187.

Choi, Jong Youl, Jeremy Logan, Kshitij Mehta, Eric Suchyta, William Godoy, Nick Thompson, Lipeng Wan, et al. 2019. “A Co-Design Study Of Fusion Whole Device Modeling Using Code Coupling.” 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), November. https://doi.org/10.1109/drbsd-549595.2019.00011.

Chen, Jieyang, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, et al. 2021. “Accelerating Multigrid-Based Hierarchical Scientific Data Refactoring on GPUs.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps49936.2021.00095.

Chen, Jieyang, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, et al. 2021. “Accelerating Multigrid-Based Hierarchical Scientific Data Refactoring on GPUs.” 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps49936.2021.00095.

Kelly, Christopher, Sungsoo Ha, Kevin Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, et al. 2020. “Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.” ISAV’20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3426462.3426465.

Ravi, John, Suren Byna, and Quincey Koziol. 2020. “GPU Direct I/O with HDF5.” 2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW), November. https://doi.org/10.1109/pdsw51947.2020.00010.

Brown, Cade, Ahmad Abdelfattah, Stanimire Tomov, and Jack Dongarra. 2020. “Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs.” 2020 IEEE High Performance Extreme Computing Conference (HPEC), September. https://doi.org/10.1109/hpec43674.2020.9286214.

Bhatia, Harsh, Robert M. Kirby, Valerio Pascucci, and Peer-Timo Bremer. 2021. “Vector Field Decompositions Using Multiscale Poisson Kernel.” IEEE Transactions on Visualization and Computer Graphics 27 (9): 3781–93. https://doi.org/10.1109/tvcg.2020.2984413.

Petrone, Floriana, Norman Abrahamson, David McCallen, Arben Pitarka, and Arthur Rodgers. 2021. “Engineering Evaluation of the EQSIM Simulated Ground‐motion Database: The San Francisco Bay Area Region.” Earthquake Engineering & Structural Dynamics 50 (15): 3939–61. https://doi.org/10.1002/eqe.3540.

Trott, Christian, Luc Berger-Vergiat, David Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandie, Jonathan Madsen, Nader Al Awar, Milos Gligoric, Galen Shipman, and Geoff Womeldorff. 2021. “The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing.” Computing in Science & Engineering 23 (5): 10–18. https://doi.org/10.1109/mcse.2021.3098509.

Fedeli, L., A. Sainte-Marie, N. Zaim, M. Thévenet, J. L. Vay, A. Myers, F. Quéré, and H. Vincenti. 2021. “Probing Strong-Field QED with Doppler-Boosted Petawatt-Class Lasers.” Physical Review Letters 127 (11). https://doi.org/10.1103/physrevlett.127.114801.

Alexander, Francis J, James Ang, Jenna A Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, et al. 2021. “Co-Design Center for Exascale Machine Learning Technologies (ExaLearn).” The International Journal of High Performance Computing Applications 35 (6): 598–616. https://doi.org/10.1177/10943420211029302.

Acer, Seher, Ariful Azad, Erik G Boman, Aydın Buluç, Karen D. Devine, SM Ferdous, Nitin Gawande, et al. 2021. “EXAGRAPH: Graph and Combinatorial Methods for Enabling Exascale Applications.” The International Journal of High Performance Computing Applications 35 (6): 553–71. https://doi.org/10.1177/10943420211029299.

Sitaraman, Hariswaran, Shashank Yellapantula, Marc T. Henry de Frahan, Bruce Perry, Jon Rood, Ray Grout, and Marc Day. 2021. “Adaptive Mesh Based Combustion Simulations of Direct Fuel Injection Effects in a Supersonic Cavity Flame-Holder.” Combustion and Flame 232 (October): 111531. https://doi.org/10.1016/j.combustflame.2021.111531.

Sitaraman, Hariswaran, Shashank Yellapantula, Marc T. Henry de Frahan, Bruce Perry, Jon Rood, Ray Grout, and Marc Day. 2021. “Adaptive Mesh Based Combustion Simulations of Direct Fuel Injection Effects in a Supersonic Cavity Flame-Holder.” Combustion and Flame 232 (October): 111531. https://doi.org/10.1016/j.combustflame.2021.111531.

Vay, J.-L., A. Huebl, R. Lehe, N.M. Cook, R.J. England, U. Niedermayer, P. Piot, F. Tsung, and D. Winklehner. 2021. “Modeling of Advanced Accelerator Concepts.” Journal of Instrumentation 16 (10): T10003. https://doi.org/10.1088/1748-0221/16/10/t10003.

Sagan, D., M. Berz, N.M. Cook, Y. Hao, G. Hoffstaetter, A. Huebl, C.-K. Huang, et al. 2021. “Simulations of Future Particle Accelerators: Issues and Mitigations.” Journal of Instrumentation 16 (10): T10002. https://doi.org/10.1088/1748-0221/16/10/t10002.

Lyngaas, Isaac, Matthew Norman, and Youngsung Kim. 2021. “SAM++: Porting the E3SM-MMF Cloud Resolving Model Using a C++ Portability Library.” The International Journal of High Performance Computing Applications 36 (2): 214–30. https://doi.org/10.1177/10943420211044495.

Grützmacher, Thomas, Hartwig Anzt, and Enrique S. Quintana‐Ortí. 2021. “Using Ginkgo’s Memory Accessor for Improving the Accuracy of Memory‐bound Low Precision BLAS.” Software: Practice and Experience, October. https://doi.org/10.1002/spe.3041.

Harville, Taylor, and Mark S. Gordon. 2021. “Electronic Structure Theory Calculations Using Modern Architectures: KNL vs Haswell.” Journal of Chemical Theory and Computation 17 (11): 6910–17. https://doi.org/10.1021/acs.jctc.1c00705.

Pandey, Santosh, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, et al. 2021. “Trust: Triangle Counting Reloaded on GPUs.” IEEE Transactions on Parallel and Distributed Systems 32 (11): 2646–60. https://doi.org/10.1109/tpds.2021.3064892.

Witt, M., A. Psaltis, H. Yasin, C. Horn, M. Reichert, T. Kuroda, M. Obergaulinger, S. M. Couch, and A. Arcones. 2021. “Post-Explosion Evolution of Core-Collapse Supernovae.” The Astrophysical Journal 921 (1): 19. https://doi.org/10.3847/1538-4357/ac1a6d.

Fields, C. E., and Sean M. Couch. 2021. “Three-Dimensional Hydrodynamic Simulations of Convective Nuclear Burning in Massive Stars Near Iron Core Collapse.” The Astrophysical Journal 921 (1): 28. https://doi.org/10.3847/1538-4357/ac24fb.

Sandoval, Michael A., W. Raphael Hix, O. E. Bronson Messer, Eric J. Lentz, and J. Austin Harris. 2021. “Three-Dimensional Core-Collapse Supernova Simulations with 160 Isotopic Species Evolved to Shock Breakout.” The Astrophysical Journal 921 (2): 113. https://doi.org/10.3847/1538-4357/ac1d49.

Germann, Timothy C. 2021. “Co-Design in the Exascale Computing Project.” The International Journal of High Performance Computing Applications 35 (6): 503–7. https://doi.org/10.1177/10943420211059380.

Sitaraman, Hariswaran, Nicholas Brunhart-Lupo, Marc Henry de Frahan, Shashank Yellapantula, Bruce Perry, Jon Rood, Ray Grout, Marc Day, Roba Binyahib, and Kenny Gruchalla. 2020. “Video: Direct Fuel Injection Effects in a Supersonic Cavity Flameholder.” 73th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion, November. https://doi.org/10.1103/aps.dfd.2020.gfm.v0026.

Richers, Sherwood, Donald Willcox, and Nicole Ford. 2021. “Neutrino Fast Flavor Instability in Three Dimensions.” Physical Review D 104 (10). https://doi.org/10.1103/physrevd.104.103023.

Clyde, Austin, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu Babuji, Ben Blaiszik, Alexander Brace, et al. 2021. “High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.” Journal of Chemical Information and Modeling 62 (1): 116–28. https://doi.org/10.1021/acs.jcim.1c00851.

Carson, Erin, Tomáš Gergelits, and Ichitaro Yamazaki. 2021. “Mixed Precision s ‐step Lanczos and Conjugate Gradient Algorithms.” Numerical Linear Algebra with Applications 29 (3). https://doi.org/10.1002/nla.2425.

Shapoval, Olga, Remi Lehe, Maxence Thévenet, Edoardo Zoni, Yinjian Zhao, and Jean-Luc Vay. 2021. “Overcoming Timestep Limitations in Boosted-Frame Particle-in-Cell Simulations of Plasma-Based Acceleration.” Physical Review E 104 (5). https://doi.org/10.1103/physreve.104.055311.

Eggenberger Andersen, Oliver, Shuai Zha, André da Silva Schneider, Aurore Betranhandy, Sean M. Couch, and Evan P. O’Connor. 2021. “Equation-of-State Dependence of Gravitational Waves in Core-Collapse Supernovae.” The Astrophysical Journal 923 (2): 201. https://doi.org/10.3847/1538-4357/ac294c.

Zhou, Keren, Laksono Adhianto, Jonathon Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, and John Mellor-Crummey. 2021. “Measurement and Analysis of GPU-Accelerated Applications with HPCToolkit.” Parallel Computing 108 (December): 102837. https://doi.org/10.1016/j.parco.2021.102837.

Tramm, John R., and Andrew R. Siegel. 2021. “Immortal Rays: Rethinking Random Ray Neutron Transport on GPU Architectures.” Parallel Computing 108 (December): 102832. https://doi.org/10.1016/j.parco.2021.102832.

Myers, A., A. Almgren, L.D. Amorim, J. Bell, L. Fedeli, L. Ge, K. Gott, et al. 2021. “Porting WarpX to GPU-Accelerated Platforms.” Parallel Computing 108 (December): 102833. https://doi.org/10.1016/j.parco.2021.102833.

Myers, A., A. Almgren, L.D. Amorim, J. Bell, L. Fedeli, L. Ge, K. Gott, et al. 2021. “Porting WarpX to GPU-Accelerated Platforms.” Parallel Computing 108 (December): 102833. https://doi.org/10.1016/j.parco.2021.102833.

Moreland, Kenneth, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, and Hank Childs. 2021. “Minimizing Development Costs for Efficient Many-Core Visualization Using MCD3.” Parallel Computing 108 (December): 102834. https://doi.org/10.1016/j.parco.2021.102834.

Mills, Richard Tran, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew Knepley, Scott E. Kruger, et al. 2021. “Toward Performance-Portable PETSc for GPU-Based Exascale Systems.” Parallel Computing 108 (December): 102831. https://doi.org/10.1016/j.parco.2021.102831.

Dosanjh, Matthew G.F., Andrew Worley, Derek Schafer, Prema Soundararajan, Sheikh Ghafoor, Anthony Skjellum, Purushotham V. Bangalore, and Ryan E. Grant. 2021. “Implementation and Evaluation of MPI 4.0 Partitioned Communication Libraries.” Parallel Computing 108 (December): 102827. https://doi.org/10.1016/j.parco.2021.102827.

Couch, Sean M., Jared Carlson, Michael Pajkos, Brian W. O’Shea, Anshu Dubey, and Tom Klosterman. 2021. “Towards Performance Portability in the Spark Astrophysical Magnetohydrodynamics Solver in the Flash-X Simulation Framework.” Parallel Computing 108 (December): 102830. https://doi.org/10.1016/j.parco.2021.102830.

Balos, Cody J., David J. Gardner, Carol S. Woodward, and Daniel R. Reynolds. 2021. “Enabling GPU Accelerated Computing in the SUNDIALS Time Integration Library.” Parallel Computing 108 (December): 102836. https://doi.org/10.1016/j.parco.2021.102836.

Abdelfattah, Ahmad, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, et al. 2021. “GPU Algorithms for Efficient Exascale Discretizations.” Parallel Computing 108 (December): 102841. https://doi.org/10.1016/j.parco.2021.102841.

Desai, Saaketh, Samuel Temple Reeve, and James F. Belak. 2022. “Implementing a Neural Network Interatomic Model with Performance Portability for Emerging Exascale Architectures.” Computer Physics Communications 270 (January): 108156. https://doi.org/10.1016/j.cpc.2021.108156.

Harper, S.M., K. Smith, and B. Forget. 2022. “Efficient MC–CMFD Multiphysics.” Annals of Nuclear Energy 165 (January): 108773. https://doi.org/10.1016/j.anucene.2021.108773.

Peng, Ivy B., Maya B. Gokhale, Karim Youssef, Keita Iwabuchi, and Roger Pearce. 2022. “Enabling Scalable and Extensible Memory-Mapped Datastores in Userspace.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 866–77. https://doi.org/10.1109/tpds.2021.3086302.

Ghosh, Supriyo, Christopher K. Newman, and Marianne M. Francois. 2022. “Tusas: A Fully Implicit Parallel Approach for Coupled Phase-Field Equations.” Journal of Computational Physics 448 (January): 110734. https://doi.org/10.1016/j.jcp.2021.110734.

Hamilton, Steven P., Thomas M. Evans, Katherine E. Royston, and Elliott D. Biondo. 2022. “Domain Decomposition in the GPU-Accelerated Shift Monte Carlo Code.” Annals of Nuclear Energy 166 (February): 108687. https://doi.org/10.1016/j.anucene.2021.108687.

Thompson, Aidan P., H. Metin Aktulga, Richard Berger, Dan S. Bolintineanu, W. Michael Brown, Paul S. Crozier, Pieter J. in ’t Veld, et al. 2022. “LAMMPS - a Flexible Simulation Tool for Particle-Based Materials Modeling at the Atomic, Meso, and Continuum Scales.” Computer Physics Communications 271 (February): 108171. https://doi.org/10.1016/j.cpc.2021.108171.

Fullmer, William D., Roberto Porcu, Jordan Musser, Ann S. Almgren, and Ishan Srivastava. 2022. “The Divergence of Nearby Trajectories in Soft-Sphere DEM.” Particuology 63 (April): 1–8. https://doi.org/10.1016/j.partic.2021.06.008.

Azad, Ariful, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, and Aydn Buluc. 2022. “Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 989–1001. https://doi.org/10.1109/tpds.2021.3094091.

Hudson, Stephen, Jeffrey Larson, John-Luke Navarro, and Stefan M. Wild. 2022. “LibEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 977–88. https://doi.org/10.1109/tpds.2021.3082815.

Wan, Lipeng, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, et al. 2022. “Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 878–90. https://doi.org/10.1109/tpds.2021.3100784.

Ghosh, Sayan, Nathan Tallent, and Mahantesh Halappanavar. 2021. “Characterizing Performance of Graph Neighborhood Communication Patterns.” IEEE Transactions on Parallel and Distributed Systems, 1–1. https://doi.org/10.1109/tpds.2021.3101425.

Tang, Houjun, Quincey Koziol, John Ravi, and Suren Byna. 2022. “Transparent Asynchronous Parallel I/O Using Background Threads.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 891–902. https://doi.org/10.1109/tpds.2021.3090322.

Zhou, Keren, Xiaozhu Meng, Ryuichi Sai, Dejan Grubisic, and John Mellor-Crummey. 2022. “An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 854–65. https://doi.org/10.1109/tpds.2021.3094169.

Zhang, Junchao, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew Knepley, Oana Marin, Richard Tran Mills, Todd Munson, Barry F. Smith, and Stefano Zampini. 2022. “The PetscSF Scalable Communication Layer.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 842–53. https://doi.org/10.1109/tpds.2021.3084070.

Trott, Christian R., Damien Lebrun-Grandie, Daniel Arndt, Jan Ciesko, Vinh Dang, Nathan Ellingwood, Rahulkumar Gayatri, et al. 2022. “Kokkos 3: Programming Model Extensions for the Exascale Era.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 805–17. https://doi.org/10.1109/tpds.2021.3097283.

Gaihre, Anil, Xiaoye Sherry Li, and Hang Liu. 2022. “GSoFa: Scalable Sparse Symbolic LU Factorization on GPUs.” IEEE Transactions on Parallel and Distributed Systems 33 (4): 1015–26. https://doi.org/10.1109/tpds.2021.3090316.

Thavappiragasam, Mathialakan, Vivek Kale, Oscar Hernandez, and Ada Sedova. 2021. “Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs.” 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December. https://doi.org/10.1109/bibm52615.2021.9669317.

Williams-Young, David B., Abhishek Bagusetty, Wibe A. de Jong, Douglas Doerfler, Hubertus J.J. van Dam, Álvaro Vázquez-Mayagoitia, Theresa L. Windus, and Chao Yang. 2021. “Achieving Performance Portability in Gaussian Basis Set Density Functional Theory on Accelerator Based Architectures in NWChemEx.” Parallel Computing 108 (December): 102829. https://doi.org/10.1016/j.parco.2021.102829.

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Yang, Chao, Jiri Brabec, Libor Veis, David B. Williams-Young, and Karol Kowalski. 2020. “Solving Coupled Cluster Equations by the Newton Krylov Method.” Frontiers in Chemistry 8 (December). https://doi.org/10.3389/fchem.2020.590184.

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Ganeriwala, Rishi K., Neil E. Hodge, and Jerome M. Solberg. 2021. “Towards Improved Speed and Accuracy of Laser Powder Bed Fusion Simulations via Multiscale Spatial Representations.” Computational Materials Science 187 (February): 110112. https://doi.org/10.1016/j.commatsci.2020.110112.

Kenawy, Maha, David McCallen, and Arben Pitarka. 2021. “Variability of Near‐fault Seismic Risk to Reinforced Concrete Buildings Based on High‐resolution Physics‐based Ground Motion Simulations.” Earthquake Engineering & Structural Dynamics 50 (6): 1713–33. https://doi.org/10.1002/eqe.3413.

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Sao, Piyush, Ramakrishnan Kannan, Xiaoye Sherry Li, and Richard Vuduc. 2019. “A Communication-Avoiding 3D Sparse Triangular Solver.” Proceedings of the ACM International Conference on Supercomputing, June. https://doi.org/10.1145/3330345.3330357.

Azad, Ariful, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, and Johannes Langguth. 2020. “A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.” SIAM Journal on Scientific Computing 42 (4): C143–68. https://doi.org/10.1137/18m1189348.

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Kawakami, Yuya, Nicole Marsaglia, Matthew Larsen, and Hank Childs. 2020. “Benchmarking In Situ Triggers Via Reconstruction Error.” ISAV’20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3426462.3426469.

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Awan, Muaaz G., Jack Deslippe, Aydin Buluc, Oguz Selvitopi, Steven Hofmeyr, Leonid Oliker, and Katherine Yelick. 2020. “ADEPT: A Domain Independent Sequence Alignment Strategy for Gpu Architectures.” BMC Bioinformatics 21 (1). https://doi.org/10.1186/s12859-020-03720-1.

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Binyahib, Roba, David Pugmire, Boyana Norris, and Hank Childs. 2019. “A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection.” 2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV), October. https://doi.org/10.1109/ldav48142.2019.8944355.

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Peng, Ivy, Marty McFadden, Eric Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, and Maya Gokhale. 2019. “UMap: Enabling Application-Driven Optimizations for Page Management.” 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC), November. https://doi.org/10.1109/mchpc49590.2019.00017.

Perarnau, Swann, Brice Videau, Nicolas Denoyelle, Florence Monna, Kamil Iskra, and Pete Beckman. 2019. “Explicit Data Layout Management for Autotuning Exploration on Complex Memory Topologies.” 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC), November. https://doi.org/10.1109/mchpc49590.2019.00015.

Ramesh, Srinivasan, Swann Perarnau, Sridutt Bhalachandra, Allen D. Malony, and Pete Beckman. 2019. “Understanding the Impact of Dynamic Power Capping on Application Progress.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps.2019.00088.

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Dreher, Matthieu, Swann Perarnau, Tom Peterka, Kamil Iskra, and Pete Beckman. 2017. “In Situ Workflows at Exascale.” Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3144769.3144774.

Bernholdt, David E., Swen Boehm, George Bosilca, Manjunath Gorentla Venkata, Ryan E. Grant, Thomas J. Naughton, III, Howard P. Pritchard, Martin Schulz, and Geoffroy R. Vallee. 2018. “A Survey of MPI Usage in the U.S. Exascale Computing Project,” June. https://doi.org/10.2172/1462877.

Sultana, Nawrin, Anthony Skjellum, Ignacio Laguna, Matthew Shane Farmer, Kathryn Mohror, and Murali Emani. 2018. “MPI Stages.” Proceedings of the 25th European MPI Users’ Group Meeting, September. https://doi.org/10.1145/3236367.3236385.

Dosanjh, Matthew G. F., S. Mahdieh Ghazimirsaeed, Ryan E. Grant, Whit Schonbein, Michael J. Levenhagen, Patrick G. Bridges, and Ahmad Afsahi. 2018. “The Case for Semi-Permanent Cache Occupancy.” Proceedings of the 47th International Conference on Parallel Processing, August. https://doi.org/10.1145/3225058.3225130.

Hjelm, Nathan, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor Groves, Patrick Bridges, and Dorian Arnold. 2018. “Improving MPI Multi-Threaded RMA Communication Performance.” Proceedings of the 47th International Conference on Parallel Processing, August. https://doi.org/10.1145/3225058.3225114.

Herault, Thomas, Yves Robert, Aurelien Bouteiller, Dorian Arnold, Kurt Ferreira, George Bosilca, and Jack Dongarra. 2018. “Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms.” 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May. https://doi.org/10.1109/ipdpsw.2018.00127.

Schonbein, Whit, Matthew G. F. Dosanjh, Ryan E. Grant, and Patrick G. Bridges. 2018. “Measuring Multithreaded Message Matching Misery.” Lecture Notes in Computer Science, 480–91. https://doi.org/10.1007/978-3-319-96983-1_34.

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Anzt, Hartwig, Yen-Chen Chen, Terry Cojean, Jack Dongarra, Goran Flegar, Pratik Nayak, Enrique S. Quintana-Ortí, Yuhsiang M. Tsai, and Weichung Wang. 2019. “Towards Continuous Benchmarking.” Proceedings of the Platform for Advanced Scientific Computing Conference, June. https://doi.org/10.1145/3324989.3325719.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, Nicholas J. Higham, and Enrique S. Quintana-Ortí. 2018. “Adaptive Precision in Block-Jacobi Preconditioning for Iterative Sparse Linear System Solvers.” Concurrency and Computation: Practice and Experience 31 (6): e4460. https://doi.org/10.1002/cpe.4460.

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Rodgers, Arthur J., Arben Pitarka, and David B. McCallen. 2019. “The Effect of Fault Geometry and Minimum Shear Wavespeed on 3D Ground-Motion Simulations for an Mw 6.5 Hayward Fault Scenario Earthquake, San Francisco Bay Area, Northern California.” Bulletin of the Seismological Society of America 109 (4): 1265–81. https://doi.org/10.1785/0120180290.

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Rodgers, Arthur J., Arben Pitarka, N. Anders Petersson, Björn Sjögreen, and David B. McCallen. 2018. “Broadband (0–4 Hz) Ground Motions for a Magnitude 7.0 Hayward Fault Earthquake With Three‐Dimensional Structure and Topography.” Geophysical Research Letters 45 (2): 739–47. https://doi.org/10.1002/2017gl076505.

Wang, Xinlei, Yuxing Qiu, Stuart R. Slattery, Yu Fang, Minchen Li, Song-Chun Zhu, Yixin Zhu, Min Tang, Dinesh Manocha, and Chenfanfu Jiang. 2020. “A Massively Parallel and Scalable Multi-GPU Material Point Method.” ACM Transactions on Graphics 39 (4). https://doi.org/10.1145/3386569.3392442.

Abdelfattah, Ahmad, Stanimire Tomov, and Jack Dongarra. 2020. “Matrix Multiplication on Batches of Small Matrices in Half and Half-Complex Precisions.” Journal of Parallel and Distributed Computing 145 (November): 188–201. https://doi.org/10.1016/j.jpdc.2020.07.001.

Khan, Arif, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, and Antonino Tumeo. 2018. “Adaptive Anonymization of Data Using B-Edge Cover.” SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1109/sc.2018.00062.

Ghosh, Sayan, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, and Assefaw H. Gebremedhin. 2019. “Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps.2019.00085.

Minutoli, Marco, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun Sathanur, Ryan Mcclure, and Jason McDermott. 2019. “Fast and Scalable Implementations of Influence Maximization Algorithms.” 2019 IEEE International Conference on Cluster Computing (CLUSTER), September. https://doi.org/10.1109/cluster.2019.8890991.

Ghosh, Sayan, Mahantesh Halappanavar, Antonino Tumeo, and Ananth Kalyanarainan. 2019. “Scaling and Quality of Modularity Optimization Methods for Graph Clustering.” 2019 IEEE High Performance Extreme Computing Conference (HPEC), September. https://doi.org/10.1109/hpec.2019.8916299.

Liu, Xu T., Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, and Assefaw H. Gebremedhin. 2020. “Direction-Optimizing Label Propagation and Its Application to Community Detection.” Proceedings of the 17th ACM International Conference on Computing Frontiers, May. https://doi.org/10.1145/3387902.3392634.

Stoudt, M. R., M. E. Williams, L. E. Levine, A. Creuziger, S. A. Young, J. C. Heigel, B. M. Lane, and T. Q. Phan. 2020. “Location-Specific Microstructure Characterization Within IN625 Additive Manufacturing Benchmark Test Artifacts.” Integrating Materials and Manufacturing Innovation 9 (1): 54–69. https://doi.org/10.1007/s40192-020-00172-6.

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Zhang, Fan, Lyle E. Levine, Andrew J. Allen, Sandra W. Young, Maureen E. Williams, Mark R. Stoudt, Kil-Won Moon, Jarred C. Heigel, and Jan Ilavsky. 2019. “Phase Fraction and Evolution of Additively Manufactured (AM) 15-5 Stainless Steel and Inconel 625 AM-Bench Artifacts.” Integrating Materials and Manufacturing Innovation 8 (3): 362–77. https://doi.org/10.1007/s40192-019-00148-1.

Phan, Thien Q., Maria Strantza, Michael R. Hill, Thomas H. Gnaupel-Herold, Jarred Heigel, Christopher R. D’Elia, Adrian T. DeWald, et al. 2019. “Elastic Residual Strain and Stress Measurements and Corresponding Part Deflections of 3D Additive Manufacturing Builds of IN625 AM-Bench Artifacts Using Neutron Diffraction, Synchrotron X-Ray Diffraction, and Contour Method.” Integrating Materials and Manufacturing Innovation 8 (3): 318–34. https://doi.org/10.1007/s40192-019-00149-0.

Shi, Rongpei, Saad Khairallah, Tae Wook Heo, Matthew Rolchigo, Joseph T. McKeown, and Manyalibo J. Matthews. 2019. “Integrated Simulation Framework for Additively Manufactured Ti-6Al-4V: Melt Pool Dynamics, Microstructure, Solid-State Phase Transformation, and Microelastic Response.” JOM 71 (10): 3640–55. https://doi.org/10.1007/s11837-019-03618-1.

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Roehling, John D., Aurélien Perron, Jean-Luc Fattebert, Tomorr Haxhimali, Gabe Guss, Tian T. Li, David Bober, et al. 2018. “Rapid Solidification in Bulk Ti-Nb Alloys by Single-Track Laser Melting.” JOM 70 (8): 1589–97. https://doi.org/10.1007/s11837-018-2920-2.

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Aaziz, Omar, Jeanine Cook, Courtenay Vaughan, and David Richards. 2019. “Proxy or Imposter? A Method and Case Study to Determine the Answer.” 2019 IEEE International Conference on Cluster Computing (CLUSTER), September. https://doi.org/10.1109/cluster.2019.8891049.

Bernholdt, David E., Swen Boehm, George Bosilca, Manjunath Gorentla Venkata, Ryan E. Grant, Thomas Naughton, Howard P. Pritchard, Martin Schulz, and Geoffroy R. Vallee. 2018. “A Survey of MPI Usage in the US Exascale Computing Project.” Concurrency and Computation: Practice and Experience 32 (3). https://doi.org/10.1002/cpe.4851.

Abdelfattah, Ahmad, Azzam Haidar, Stanimire Tomov, and Jack Dongarra. 2018. “Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization.” 2018 IEEE High Performance Extreme Computing Conference (HPEC), September. https://doi.org/10.1109/hpec.2018.8547576.

Merzari, E., H. Yuan, A. Kraus, A. Obabko, P. Fischer, J. Solberg, S. Lee, J. Lai, M. Delgado, and Y. Hassan. 2018. “High-Fidelity Simulation of Flow-Induced Vibrations in Helical Steam Generators for Small Modular Reactors.” Nuclear Technology 205 (1–2): 33–47. https://doi.org/10.1080/00295450.2018.1490124.

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Zaki, George F., Justin M. Wozniak, Jonathan Ozik, Nicholson Collier, Thomas Brettin, and Rick Stevens. 2018. “Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies.” 2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), November. https://doi.org/10.1109/espm2.2018.00011.

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Kurzak, Jakub, Mark Gates, Ali Charara, Asim YarKhan, and Jack Dongarra. 2019. “Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators.” Proceedings of the ACM International Conference on Supercomputing, June. https://doi.org/10.1145/3330345.3330356.

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Gates, Mark, Jakub Kurzak, Ali Charara, Asim YarKhan, and Jack Dongarra. 2019. “SLATE.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3295500.3356223.

Tsai, Karen C., Roxana Bujack, Berk Geveci, Utkarsh Ayachit, and James Ahrens. 2020. “Approaches for In Situ Computation of Moments in a Data-Parallel Environment.” Eurographics Symposium on Parallel Graphics and Visualization. https://doi.org/10.2312/PGV.20201075.

Li, Shaomeng, Matthew Larsen, John Clyne, and Hank Childs. 2017. “Performance Impacts of In Situ Wavelet Compression on Scientific Simulations.” Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3144769.3144773.

Marsaglia, Nicole J., Shaomeng Li, Kristi Belcher, Matthew Larsen, and Hank Childs. 2019. “Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.” Eurographics Symposium on Parallel Graphics and Visualization. https://doi.org/10.2312/PGV.20191104.

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Sane, Sudhanshu, Hank Childs, and Roxana Bujack. 2019. “An Interpolation Scheme for VDVP Lagrangian Basis Flows.” Eurographics Symposium on Parallel Graphics and Visualization. https://doi.org/10.2312/PGV.20191115.

Larsen, Matthew, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, and Hank Childs. 2018. “A Flexible System for in Situ Triggers.” Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3281464.3281468.

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Biswas, Ayan, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, and Terece L. Turton. 2021. “Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case.” Computing in Science & Engineering 23 (1): 75–82. https://doi.org/10.1109/mcse.2020.3016927.

Biswas, Ayan, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, and James Ahrens. 2021. “Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.” IEEE Transactions on Visualization and Computer Graphics 27 (12): 4439–54. https://doi.org/10.1109/tvcg.2020.3006426.

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Karakus, A., N. Chalmers, J.S. Hesthaven, and T. Warburton. 2019. “Discontinuous Galerkin Discretizations of the Boltzmann–BGK Equations for Nearly Incompressible Flows: Semi-Analytic Time Stepping and Absorbing Boundary Layers.” Journal of Computational Physics 390 (August): 175–202. https://doi.org/10.1016/j.jcp.2019.03.050.

Karakus, A., N. Chalmers, K. Świrydowicz, and T. Warburton. 2019. “A GPU Accelerated Discontinuous Galerkin Incompressible Flow Solver.” Journal of Computational Physics 390 (August): 380–404. https://doi.org/10.1016/j.jcp.2019.04.010.

Azad, Ariful, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, and Johannes Langguth. 2020. “A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.” SIAM Journal on Scientific Computing 42 (4): C143–68. https://doi.org/10.1137/18m1189348.

Jung, Chulwoo, and Yong-Chull Jang. 2019. “Split Grid and Block Lanczos Algorithm for Efficient Eigenpair Generation.” Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018), May. https://doi.org/10.22323/1.334.0309.

Zhao, Yidi. 2019. “Numerical Implementation of Gauge-Fixed FourierAcceleration.” Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018), May. https://doi.org/10.22323/1.334.0026.

Christ, Norman H., and Evan W. Wickenden. 2019. “Fourier Acceleration, the HMC Algorithm and Renormalizability.” Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018), May. https://doi.org/10.22323/1.334.0025.

Clark, M. A., Chulwoo Jung, and Christoph Lehner. 2018. “Multi-Grid Lanczos.” Edited by M. Della Morte, P. Fritzsch, E. Gámiz Sánchez, and C. Pena Ruano. EPJ Web of Conferences 175: 14023. https://doi.org/10.1051/epjconf/201817514023.

Boyle, Peter A., M.A. Clark, Carleton DeTar, Meifeng Lin, Verinder Rana, and Alejandro Vaquero Avilés-Casco. 2018. “Performance Portability Strategies for Grid C++ Expression Templates.” Edited by M. Della Morte, P. Fritzsch, E. Gámiz Sánchez, and C. Pena Ruano. EPJ Web of Conferences 175: 09006. https://doi.org/10.1051/epjconf/201817509006.

Jin, Xiao-yong, and James C. Osborn. 2019. “Ensemble Quasi-Newton HMC.” Proceedings of The 36th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2018), May. https://doi.org/10.22323/1.334.0027.

Ayala, Alan, Stanimire Tomov, Azzam Haidar, and Jack Dongarra. 2020. “HeFFTe: Highly Efficient FFT for Exascale.” Computational Science – ICCS 2020, 262–75. https://doi.org/10.1007/978-3-030-50371-0_19.

Kale, Vivek, Christian Iwainsky, Michael Klemm, Jonas H. Müller Korndörfer, and Florina M. Ciorba. 2019. “Toward a Standard Interface for User-Defined Scheduling in OpenMP.” Lecture Notes in Computer Science, 186–200. https://doi.org/10.1007/978-3-030-28596-8_13.

DeFreez, Daniel, Antara Bhowmick, Ignacio Laguna, and Cindy Rubio-González. 2020. “Detecting and Reproducing Error-Code Propagation Bugs in MPI Implementations.” Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, February. https://doi.org/10.1145/3332466.3374515.

Laguna, Ignacio, Ryan Marshall, Kathryn Mohror, Martin Ruefenacht, Anthony Skjellum, and Nawrin Sultana. 2019. “A Large-Scale Study of MPI Usage in Open-Source HPC Applications.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3295500.3356176.

Losada, Nuria, Aurelien Bouteiller, and George Bosilca. 2019. “Asynchronous Receiver-Driven Replay for Local Rollback of MPI Applications.” 2019 IEEE/ACM 9th Workshop on Fault Tolerance for HPC at EXtreme Scale (FTXS), November. https://doi.org/10.1109/ftxs49593.2019.00006.

Georgakoudis, Giorgis, Luanzheng Guo, and Ignacio Laguna. 2020. “Reinit$$^{++}$$: Evaluating the Performance of Global-Restart Recovery Methods for MPI Fault Tolerance.” High Performance Computing, 536–54. https://doi.org/10.1007/978-3-030-50743-5_27.

Skjellum, Anthony, Martin Rüfenacht, Nawrin Sultana, Derek Schafer, Ignacio Laguna, and Kathryn Mohror. 2020. “ExaMPI: A Modern Design and Implementation to Accelerate Message Passing Interface Innovation.” High Performance Computing, 153–69. https://doi.org/10.1007/978-3-030-41005-6_11.

Zhong, Dong, Aurelien Bouteiller, Xi Luo, and George Bosilca. 2019. “Runtime Level Failure Detection and Propagation in HPC Systems.” Proceedings of the 26th European MPI Users’ Group Meeting on - EuroMPI ’19. https://doi.org/10.1145/3343211.3343225.

Schuchart, Joseph, Aurelien Bouteiller, and George Bosilca. 2019. “Using MPI-3 RMA for Active Messages.” 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI), November. https://doi.org/10.1109/exampi49596.2019.00011.

Ayala, Alan, Stanimire Tomov, Xi Luo, Hejer Shaeik, Azzam Haidar, George Bosilca, and Jack Dongarra. 2019. “Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation.” 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI), November. https://doi.org/10.1109/exampi49596.2019.00007.

Patinyasakdikul, Thananon, Xi Luo, David Eberius, and George Bosilca. 2019. “Multirate: A Flexible MPI Benchmark for Fast Assessment of Multithreaded Communication Performance.” 2019 IEEE/ACM Workshop on Exascale MPI (ExaMPI), November. https://doi.org/10.1109/exampi49596.2019.00006.

Patinyasakdikul, Thananon, David Eberius, George Bosilca, and Nathan Hjelm. 2019. “Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs.” 2019 IEEE International Conference on Cluster Computing (CLUSTER), September. https://doi.org/10.1109/cluster.2019.8891015.

Hjelm, Nathan, Howard Pritchard, Samuel K. Gutierrez, Daniel J. Holmes, Ralph Castain, and Anthony Skjellum. 2019. “MPI Sessions: Evaluation of an Implementation in Open MPI.” 2019 IEEE International Conference on Cluster Computing (CLUSTER), September. https://doi.org/10.1109/cluster.2019.8891002.

Dosanjh, Matthew G. F., Whit Schonbein, Ryan E. Grant, Patrick G. Bridges, S. Mahdieh Gazimirsaeed, and Ahmad Afsahi. 2019. “Fuzzy Matching: Hardware Accelerated MPI Communication Middleware.” 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), May. https://doi.org/10.1109/ccgrid.2019.00035.

Sultana, Nawrin, Martin Rüfenacht, Anthony Skjellum, Ignacio Laguna, and Kathryn Mohror. 2019. “Failure Recovery for Bulk Synchronous Applications with MPI Stages.” Parallel Computing 84 (May): 1–14. https://doi.org/10.1016/j.parco.2019.02.007.

Hermanns, Marc-André, Nathan T. Hjelm, Michael Knobloch, Kathryn Mohror, and Martin Schulz. 2019. “The MPI_T Events Interface: An Early Evaluation and Overview of the Interface.” Parallel Computing 85 (July): 119–30. https://doi.org/10.1016/j.parco.2018.12.006.

Grant, Ryan E., Matthew G. F. Dosanjh, Michael J. Levenhagen, Ron Brightwell, and Anthony Skjellum. 2019. “Finepoints: Partitioned Multithreaded MPI Communication.” High Performance Computing, 330–50. https://doi.org/10.1007/978-3-030-20656-7_17.

Kilic, Ozgur O., Nathan R. Tallent, and Ryan D. Friese. 2019. “Rapidly Measuring Loop Footprints.” 2019 IEEE International Conference on Cluster Computing (CLUSTER), September. https://doi.org/10.1109/cluster.2019.8891025.

Zingale, M., K. Eiden, Y. Cavecchi, A. Harpole, J. B. Bell, M. Chang, I. Hawke, et al. 2019. “Toward Resolved Simulations of Burning Fronts in Thermonuclear X-Ray Bursts.” Journal of Physics: Conference Series 1225 (1): 012005. https://doi.org/10.1088/1742-6596/1225/1/012005.

Mewes, Vassilios, Yosef Zlochower, Manuela Campanelli, Thomas W. Baumgarte, Zachariah B. Etienne, Federico G. Lopez Armengol, and Federico Cipolletta. 2020. “Numerical Relativity in Spherical Coordinates: A New Dynamical Spacetime and General Relativistic MHD Evolution Framework for the Einstein Toolkit.” Physical Review D 101 (10). https://doi.org/10.1103/physrevd.101.104007.

Pajkos, Michael A., Sean M. Couch, Kuo-Chuan Pan, and Evan P. O’Connor. 2019. “Features of Accretion-Phase Gravitational-Wave Emission from Two-Dimensional Rotating Core-Collapse Supernovae.” The Astrophysical Journal 878 (1): 13. https://doi.org/10.3847/1538-4357/ab1de2.

Mutlu, Erdal, Karol Kowalski, and Sriram Krishnamoorthy. 2019. “Toward Generalized Tensor Algebra for Ab Initio Quantum Chemistry Methods.” Proceedings of the 6th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming, June. https://doi.org/10.1145/3315454.3329958.

Mubarak, Misbah, Neil McGlohon, Malek Musleh, Eric Borch, Robert B. Ross, Ram Huggahalli, Sudheer Chunduri, Scott Parker, Christopher D. Carothers, and Kalyan Kumaran. 2019. “Evaluating Quality of Service Traffic Classes on the Megafly Network.” High Performance Computing, 3–20. https://doi.org/10.1007/978-3-030-20656-7_1.

McGlohon, Neil, Robert B. Ross, and Christopher D. Carothers. 2020. “Evaluation of Link Failure Resilience in Multirail Dragonfly-Class Networks through Simulation.” Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, June. https://doi.org/10.1145/3384441.3395989.

Dasgupta, Medhanjali, Dominik Budday, Saulo H. P. de Oliveira, Peter Madzelan, Darya Marchany-Rivera, Javier Seravalli, Brandon Hayes, et al. 2019. “Mix-and-Inject XFEL Crystallography Reveals Gated Conformational Dynamics during Enzyme Catalysis.” Proceedings of the National Academy of Sciences 116 (51): 25634–40. https://doi.org/10.1073/pnas.1901864116.

Woss, Antoni J., David J. Wilson, and Jozef J. Dudek. 2020. “Efficient Solution of the Multichannel Lüscher Determinant Condition through Eigenvalue Decomposition.” Physical Review D 101 (11). https://doi.org/10.1103/physrevd.101.114505.

Wilson, David J., Raúl A. Briceño, Jozef J. Dudek, Robert G. Edwards, and Christopher E. Thomas. 2019. “Quark-Mass Dependence of Elastic πK Scattering from QCD.” Physical Review Letters 123 (4). https://doi.org/10.1103/physrevlett.123.042002.

Woss, Antoni J., Christopher E. Thomas, Jozef J. Dudek, Robert G. Edwards, and David J. Wilson. 2019. “b1 Resonance in Coupled πω, πϕ Scattering from Lattice QCD.” Physical Review D 100 (5). https://doi.org/10.1103/physrevd.100.054506.

Butko, Anastasiia, Albert Chen, David Donofrio, Farzad Fatollahi-Fard, and John Shalf. 2018. “Open2C.” Proceedings of the International Symposium on Memory Systems, October. https://doi.org/10.1145/3240302.3270314.

Barra, Valeria, Jed Brown, Jeremy Thompson, and Yohann Dudouit. 2020. “High-Performance Operator Evaluations with Ease of Use: LibCEED’s Python Interface.” Proceedings of the 19th Python in Science Conference. https://doi.org/10.25080/majora-342d178e-00c.

Garcia-Cardona, Cristina, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, and Sudip K. Seal. 2019. “Learning to Predict Material Structure from Neutron Scattering Data.” 2019 IEEE International Conference on Big Data (Big Data), December. https://doi.org/10.1109/bigdata47090.2019.9005968.

Pei, Yu, Qinglei Cao, George Bosilca, Piotr Luszczek, Victor Eijkhout, and Jack Dongarra. 2020. “Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime.” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May. https://doi.org/10.1109/ipdpsw50202.2020.00127.

Cao, Qinglei, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David Keyes, and Jack Dongarra. 2020. “Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications.” Proceedings of the Platform for Advanced Scientific Computing Conference, June. https://doi.org/10.1145/3394277.3401846.

Herault, Thomas, Yves Robert, George Bosilca, and Jack Dongarra. 2019. “Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC.” 2019 IEEE/ACM 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), November. https://doi.org/10.1109/scala49573.2019.00010.

Kruse, Michael, and Hal Finkel. 2018. “A Proposal for Loop-Transformation Pragmas.” Lecture Notes in Computer Science, 37–52. https://doi.org/10.1007/978-3-319-98521-3_3.

Doerfert, Johannes, and Hal Finkel. 2018. “Compiler Optimizations for OpenMP.” Lecture Notes in Computer Science, 113–27. https://doi.org/10.1007/978-3-319-98521-3_8.

Chien, Steven, Ivy Peng, and Stefano Markidis. 2019. “Performance Evaluation of Advanced Features in CUDA Unified Memory.” 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC), November. https://doi.org/10.1109/mchpc49590.2019.00014.

Peng, Ivy B., and Jeffrey S. Vetter. 2018. “Siena: Exploring the Design Space of Heterogeneous Memory Systems.” SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1109/sc.2018.00036.

Peng, Ivy B., Maya B. Gokhale, and Eric W. Green. 2019. “System Evaluation of the Intel Optane Byte-Addressable NVM.” Proceedings of the International Symposium on Memory Systems, September. https://doi.org/10.1145/3357526.3357568.

Wu, Kai, Ivy Peng, Jie Ren, and Dong Li. 2020. “Ribbon.” Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques, September. https://doi.org/10.1145/3410463.3414625.

Chen, Yu, Ivy B. Peng, Zhen Peng, Xu Liu, and Bin Ren. 2020. “ATMem: Adaptive Data Placement in Graph Applications on Heterogeneous Memories.” Proceedings of the 18th ACM/IEEE International Symposium on Code Generation and Optimization, February. https://doi.org/10.1145/3368826.3377922.

Peng, Ivy, Kai Wu, Jie Ren, Dong Li, and Maya Gokhale. 2020. “Demystifying the Performance of HPC Scientific Applications on NVM-Based Memory Systems.” 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps47924.2020.00098.

Bak, Seonmyeong, Yanfei Guo, Pavan Balaji, and Vivek Sarkar. 2019. “Optimized Execution of Parallel Loops via User-Defined Scheduling Policies.” Proceedings of the 48th International Conference on Parallel Processing, August. https://doi.org/10.1145/3337821.3337913.

Diaz, Jose Monsalve, Swaroop Pophale, Oscar Hernandez, David E. Bernholdt, and Sunita Chandrasekaran. 2018. “OpenMP 4.5 Validation and Verification Suite for Device Offload.” Lecture Notes in Computer Science, 82–95. https://doi.org/10.1007/978-3-319-98521-3_6.

Mishra, Alok, Lingda Li, Martin Kong, Hal Finkel, and Barbara Chapman. 2017. “Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading.” Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, November. https://doi.org/10.1145/3148173.3148184.

Li, Lingda, Hal Finkel, Martin Kong, and Barbara Chapman. 2018. “Manage OpenMP GPU Data Environment Under Unified Address Space.” Lecture Notes in Computer Science, 69–81. https://doi.org/10.1007/978-3-319-98521-3_5.

Doerfert, Johannes, and Hal Finkel. 2019. “Compiler Optimizations for Parallel Programs.” Lecture Notes in Computer Science, 112–19. https://doi.org/10.1007/978-3-030-34627-0_9.

Diaz, Jose Monsalve, Swaroop Pophale, Kyle Friedline, Oscar Hernandez, David E. Bernholdt, and Sunita Chandrasekaran. 2018. “Evaluating Support for OpenMP Offload Features.” Proceedings of the 47th International Conference on Parallel Processing Companion, August. https://doi.org/10.1145/3229710.3229717.

Li, Lingda, and Barbara Chapman. 2019. “Compiler Assisted Hybrid Implicit and Explicit GPU Memory Management under Unified Address Space.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3295500.3356141.

Yang, L., and B. D. Wirth. 2020. “First-Principles Study of Hydrogen Behavior near W/WC Interfaces.” Journal of Applied Physics 127 (11): 115107. https://doi.org/10.1063/1.5141761.

Yang, L., and B.D. Wirth. 2020. “Carbon Clustering and Effect on Hydrogen Trapping in Tungsten: A First-Principles Study.” Computational Materials Science 184 (November): 109932. https://doi.org/10.1016/j.commatsci.2020.109932.

Zamora, R. J., D. Perez, E. Martinez, B. P. Uberuaga, and A. F. Voter. 2019. “Accelerated Molecular Dynamics Methods in a Massively Parallel World.” Handbook of Materials Modeling, October, 1–28. https://doi.org/10.1007/978-3-319-42913-7_25-2.

Garmon, Andrew, and Danny Perez. 2020. “Exploiting Model Uncertainty to Improve the Scalability of Long-Time Simulations Using Parallel Trajectory Splicing.” Modelling and Simulation in Materials Science and Engineering 28 (6): 065015. https://doi.org/10.1088/1361-651x/aba511.

Eisty, Nasir U., Danny Perez, Jeffrey C. Carver, J. David Moulton, and Hai Ah Nam. 2020. “Testing Research Software: A Case Study.” Computational Science – ICCS 2020, 457–63. https://doi.org/10.1007/978-3-030-50436-6_33.

Plimpton, Steven J., Danny Perez, and Arthur F. Voter. 2020. “Parallel Algorithms for Hyperdynamics and Local Hyperdynamics.” The Journal of Chemical Physics 153 (5): 054116. https://doi.org/10.1063/5.0014448.

Vay, J.-L., A. Almgren, J. Bell, L. Ge, D.P. Grote, M. Hogan, O. Kononenko, et al. 2018. “Warp-X: A New Exascale Computing Platform for Beam–Plasma Simulations.” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 909 (November): 476–79. https://doi.org/10.1016/j.nima.2018.01.035.

Vay, J.-L., A. Almgren, J. Bell, R. Lehe, A. Myers, J. Park, O. Shapoval, et al. 2018. “Toward Plasma Wakefield Simulations at Exascale.” 2018 IEEE Advanced Accelerator Concepts Workshop (AAC), August. https://doi.org/10.1109/aac.2018.8659392.

Kirchen, Manuel, Remi Lehe, Soeren Jalas, Olga Shapoval, Jean-Luc Vay, and Andreas R. Maier. 2020. “Scalable Spectral Solver in Galilean Coordinates for Eliminating the Numerical Cherenkov Instability in Particle-in-Cell Simulations of Streaming Plasmas.” Physical Review E 102 (1). https://doi.org/10.1103/physreve.102.013202.

Hargrove, Paul H., and Dan Bonachea. 2018. “GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network.” 2018 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November. https://doi.org/10.1109/paw-atm.2018.00008.

Anzt, Hartwig, Tobias Ribizel, Goran Flegar, Edmond Chow, and Jack Dongarra. 2019. “ParILUT - A Parallel Threshold ILU for GPUs.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps.2019.00033.

Anzt, Hartwig, Erik Boman, Rob Falgout, Pieter Ghysels, Michael Heroux, Xiaoye Li, Lois Curfman McInnes, et al. 2020. “Preparing Sparse Solvers for Exascale Computing.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378 (2166): 20190053. https://doi.org/10.1098/rsta.2019.0053.

Tsai, Yuhsiang M., Terry Cojean, and Hartwig Anzt. 2020. “Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On.” High Performance Computing, 309–27. https://doi.org/10.1007/978-3-030-50743-5_16.

Scogland, Thomas R. W., Dan Sunderland, Stephen L. Olivier, David S. Hollman, Noah Evans, and Bronis R. de Supinski. 2019. “Making OpenMP Ready for C++ Executors.” Lecture Notes in Computer Science, 320–32. https://doi.org/10.1007/978-3-030-28596-8_22.

Sreenivasan, Vinu, Rajath Javali, Mary Hall, Prasanna Balaprakash, Thomas R. W. Scogland, and Bronis R. de Supinski. 2019. “A Framework for Enabling OpenMP Autotuning.” Lecture Notes in Computer Science, 50–60. https://doi.org/10.1007/978-3-030-28596-8_4.

Doerfert, Johannes, Jose Manuel Monsalve Diaz, and Hal Finkel. 2019. “The TRegion Interface and Compiler Optimizations for OpenMP Target Regions.” Lecture Notes in Computer Science, 153–67. https://doi.org/10.1007/978-3-030-28596-8_11.

Kruse, Michael, and Hal Finkel. 2019. “Design and Use of Loop-Transformation Pragmas.” Lecture Notes in Computer Science, 125–39. https://doi.org/10.1007/978-3-030-28596-8_9.

Iwasaki, Shintaro, Abdelhalim Amer, Kenjiro Taura, Sangmin Seo, and Pavan Balaji. 2019. “BOLT: Optimizing OpenMP Parallel Regions with User-Level Threads.” 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), September. https://doi.org/10.1109/pact.2019.00011.

Li, Jiali, Bogdan Nicolae, Justin Wozniak, and George Bosilca. 2019. “Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training.” 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), November. https://doi.org/10.1109/mlhpc49564.2019.00006.

Tseng, Shu-Mei, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, and Franck Cappello. 2019. “Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring.” Euro-Par 2019: Parallel Processing, 47–60. https://doi.org/10.1007/978-3-030-29400-7_4.

Nicolae, Bogdan, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, and Franck Cappello. 2019. “VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps.2019.00099.

Dey, Tonmoy, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, and Kathryn Mohror. 2020. “Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning.” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May. https://doi.org/10.1109/ipdpsw50202.2020.00174.

Kang, Qiao, Sunwoo Lee, Kaiyuan Hou, Robert Ross, Ankit Agrawal, Alok Choudhary, and Wei-keng Liao. 2020. “Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation.” IEEE Transactions on Parallel and Distributed Systems 31 (11): 2682–95. https://doi.org/10.1109/tpds.2020.3000458.

Jia, Zhihao, Oded Padon, James Thomas, Todd Warszawski, Matei Zaharia, and Alex Aiken. 2019. “TASO.” Proceedings of the 27th ACM Symposium on Operating Systems Principles, October. https://doi.org/10.1145/3341301.3359630.

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Wozniak, Justin M., Matthieu Dorier, Robert Ross, Tong Shu, Tahsin Kurc, Li Tang, Norbert Podhorszki, and Matthew Wolf. 2019. “MPI Jobs within MPI Jobs: A Practical Way of Enabling Task-Level Fault-Tolerance in HPC Workflows.” Future Generation Computer Systems 101 (December): 576–89. https://doi.org/10.1016/j.future.2019.05.020.

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Merzari, Elia, Paul Fischer, Misun Min, Stefan Kerkemeier, Aleksandr Obabko, Dillon Shaver, Haomin Yuan, et al. 2020. “Toward Exascale: Overview of Large Eddy Simulations and Direct Numerical Simulations of Nuclear Reactor Flows with the Spectral Element Method in Nek5000.” Nuclear Technology 206 (9): 1308–24. https://doi.org/10.1080/00295450.2020.1748557.

Hajduk, Hennes, Dmitri Kuzmin, Tzanio Kolev, Vladimir Tomov, Ignacio Tomas, and John N. Shadid. 2020. “Matrix-Free Subcell Residual Distribution for Bernstein Finite Elements: Monolithic Limiting.” Computers & Fluids 200 (March): 104451. https://doi.org/10.1016/j.compfluid.2020.104451.

Dobrev, Veselin, Patrick Knupp, Tzanio Kolev, Ketan Mittal, Robert Rieben, and Vladimir Tomov. 2020. “Simulation-Driven Optimization of High-Order Meshes in ALE Hydrodynamics.” Computers & Fluids 208 (August): 104602. https://doi.org/10.1016/j.compfluid.2020.104602.

Xie, Cong, Wonyong Jeong, Gyorgy Matyasfalvi, Hubertus Van Dam, Klaus Mueller, Shinjae Yoo, and Wei Xu. 2019. “Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications.” Computational Science – ICCS 2019, 153–67. https://doi.org/10.1007/978-3-030-22734-0_12.

Aaziz, Omar, Courtenay Vaughan, Jonathan Cook, Jeanine Cook, Jeffery Kuehn, and David Richards. 2019. “Fine-Grained Analysis of Communication Similarity between Real and Proxy Applications.” 2019 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), November. https://doi.org/10.1109/pmbs49563.2019.00016.

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Zhang, Yongzhe, Ariful Azad, and Zhenjiang Hu. 2020. “FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence.” Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, January, 46–57. https://doi.org/10.1137/1.9781611976137.5.

Yoon, Hong-Jun, John Gounley, Shang Gao, Mohammed Alawad, Arvind Ramanathan, and Georgia Tourassi. 2019. “Model-Based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.” 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), May. https://doi.org/10.1109/bhi.2019.8834674.

Sigler, Devon, Jonathan Maack, Ignas Satkauskas, Matthew Reynolds, and Wesley Jones. 2020. “Scalable Transmission Expansion Under Uncertainty Using Three-Stage Stochastic Optimization.” 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), February. https://doi.org/10.1109/isgt45199.2020.9087776.

Rodgers, Arthur J., Arben Pitarka, and David B. McCallen. 2019. “The Effect of Fault Geometry and Minimum Shear Wavespeed on 3D Ground-Motion Simulations for an Mw 6.5 Hayward Fault Scenario Earthquake, San Francisco Bay Area, Northern California.” Bulletin of the Seismological Society of America 109 (4): 1265–81. https://doi.org/10.1785/0120180290.

Thévenet, Maxence, Daniel E. Mittelberger, Kei Nakamura, Rémi Lehe, Carl B. Schroeder, Jean-Luc Vay, Eric Esarey, and Wim P. Leemans. 2019. “Pulse Front Tilt Steering in Laser Plasma Accelerators.” Physical Review Accelerators and Beams 22 (7). https://doi.org/10.1103/physrevaccelbeams.22.071301.

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Homerding, Brian, and John Tramm. 2020. “Evaluating the Performance of the HipSYCL Toolchain for HPC Kernels on NVIDIA V100 GPUs.” Proceedings of the International Workshop on OpenCL, April. https://doi.org/10.1145/3388333.3388660.

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Kent, P. R. C., Abdulgani Annaberdiyev, Anouar Benali, M. Chandler Bennett, Edgar Josué Landinez Borda, Peter Doak, Hongxia Hao, et al. 2020. “QMCPACK: Advances in the Development, Efficiency, and Application of Auxiliary Field and Real-Space Variational and Diffusion Quantum Monte Carlo.” The Journal of Chemical Physics 152 (17): 174105. https://doi.org/10.1063/5.0004860.

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Richard, Ryan M., Colleen Bertoni, Jeffery S. Boschen, Kristopher Keipert, Benjamin Pritchard, Edward F. Valeev, Robert J. Harrison, Wibe A. de Jong, and Theresa L. Windus. 2019. “Developing a Computational Chemistry Framework for the Exascale Era.” Computing in Science & Engineering 21 (2): 48–58. https://doi.org/10.1109/mcse.2018.2884921.

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Binyahib, Roba, David Pugmire, and Hank Childs. 2019. “In Situ Particle Advection via Parallelizing over Particles.” Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3364228.3364235.

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Carr, Hamish A., Gunther H. Weber, Christopher M. Sewell, Oliver Rubel, Patricia Fasel, and James P. Ahrens. 2021. “Scalable Contour Tree Computation by Data Parallel Peak Pruning.” IEEE Transactions on Visualization and Computer Graphics 27 (4): 2437–54. https://doi.org/10.1109/tvcg.2019.2948616.

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Liu, Yang, Wissam Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, and Xiaoye Sherry Li. 2020. “A Parallel Hierarchical Blocked Adaptive Cross Approximation Algorithm.” The International Journal of High Performance Computing Applications 34 (4): 394–408. https://doi.org/10.1177/1094342020918305.

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Bachan, John, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, and Hadia Ahmed. 2019. “UPC++: A High-Performance Communication Framework for Asynchronous Computation.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps.2019.00104.

Pei, Yu, George Bosilca, Ichitaro Yamazaki, Akihiro Ida, and Jack Dongarra. 2019. “Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization.” 2019 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November. https://doi.org/10.1109/paw-atm49560.2019.00008.

Cao, Qinglei , Yu Pei, Thomas Herault, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David Keyes, and Jack Dongarra. 2019. “Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools.” 2019 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools), November. https://doi.org/10.1109/protools49597.2019.00009.

Lee, Wonchan, Manolis Papadakis, Elliott Slaughter, and Alex Aiken. 2019. “A Constraint-Based Approach to Automatic Data Partitioning for Distributed Memory Execution.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3295500.3356199.

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Tsai, Karen C., Roxana Bujack, Berk Geveci, Utkarsh Ayachit, and James Ahrens. 2020. “Approaches for In Situ Computation of Moments in a Data-Parallel Environment.” Eurographics Symposium on Parallel Graphics and Visualization. https://doi.org/10.2312/PGV.20201075.

Yamazaki, Ichitaro, Stephen Thomas, Mark Hoemmen, Erik G. Boman, Katarzyna Świrydowicz, and James J. Elliott. 2020. “Low-Synchronization Orthogonalization Schemes for s-Step and Pipelined Krylov Solvers in Trilinos.” Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, January, 118–28. https://doi.org/10.1137/1.9781611976137.11.

Sauter, Nicholas K., Jan Kern, Junko Yano, and James M. Holton. 2020. “Towards the Spatial Resolution of Metalloprotein Charge States by Detailed Modeling of XFEL Crystallographic Diffraction.” Acta Crystallographica Section D Structural Biology 76 (2): 176–92. https://doi.org/10.1107/s2059798320000418.

Balaprakash, Prasanna, Romain Egele, Misha Salim, Stefan Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, and Rick Stevens. 2019. “Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research.” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November. https://doi.org/10.1145/3295500.3356202.

Yoon, Hong-Jun, John Gounley, M. Todd Young, and Georgia Tourassi. 2019. “Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts.” 2019 IEEE International Conference on Big Data (Big Data), December. https://doi.org/10.1109/bigdata47090.2019.9006270.

Li, Jiali, Bogdan Nicolae, Justin Wozniak, and George Bosilca. 2019. “Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training.” 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), November. https://doi.org/10.1109/mlhpc49564.2019.00006.

Chavez, Gustavo, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, and Elizaveta Rebrova. 2020. “Scalable and Memory-Efficient Kernel Ridge Regression.” 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May. https://doi.org/10.1109/ipdps47924.2020.00102.

Zou, Xiangyu, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, and Franck Cappello. 2020. “Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.” IEEE Transactions on Parallel and Distributed Systems 31 (7): 1665–80. https://doi.org/10.1109/tpds.2020.2972548.

Zhao, Kai, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, and Franck Cappello. 2020. “Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.” Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, June. https://doi.org/10.1145/3369583.3392688.

Kwack, JaeHyuk, Colleen Bertoni, Buu Pham, and Jeff Larkin. 2020. “Performance of the RI-MP2 Fortran Kernel of GAMESS on GPUs via Directive-Based Offloading with Math Libraries.” Lecture Notes in Computer Science, 91–113. https://doi.org/10.1007/978-3-030-49943-3_5.

Rolchigo, Matthew, Benjamin Stump, James Belak, and Alex Plotkowski. 2020. “Sparse Thermal Data for Cellular Automata Modeling of Grain Structure in Additive Manufacturing.” Modelling and Simulation in Materials Science and Engineering 28 (6): 065003. https://doi.org/10.1088/1361-651x/ab9734.

Poole, David, Jorge L. Galvez Vallejo, and Mark S. Gordon. 2020. “A New Kid on the Block: Application of Julia to Hartree–Fock Calculations.” Journal of Chemical Theory and Computation 16 (8): 5006–13. https://doi.org/10.1021/acs.jctc.0c00337.

Fang, Yuanwei, Chen Zou, Aaron J. Elmore, and Andrew A. Chien. 2017. “UDP.” Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, October. https://doi.org/10.1145/3123939.3123983.

Jin, Sian, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, and Franck Cappello. 2019. “DeepSZ.” Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, June. https://doi.org/10.1145/3307681.3326608.

Krolewski, Alex, Khee-Gan Lee, Zarija Lukić, and Martin White. 2017. “Measuring Alignments between Galaxies and the Cosmic Web at z ∼ 2–3 Using IGM Tomography.” The Astrophysical Journal 837 (1): 31. https://doi.org/10.3847/1538-4357/837/1/31.

Tao, Dingwen, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello. 2018. “Improving Performance of Iterative Methods by Lossy Checkponting.” Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, June. https://doi.org/10.1145/3208040.3208050.

Biswas, Ayan, Soumya Dutta, Jesus Pulido, and James Ahrens. 2018. “In Situ Data-Driven Adaptive Sampling for Large-Scale Simulation Data Summarization.” Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, November. https://doi.org/10.1145/3281464.3281467.

Tao, Dingwen, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello. 2017. “Z-Checker: A Framework for Assessing Lossy Compression of Scientific Data.” The International Journal of High Performance Computing Applications 33 (2): 285–303. https://doi.org/10.1177/1094342017737147.

Xie, Cong, Wen Zhong, Wei Xu, and Klaus Mueller. 2019. “Visual Analytics of Heterogeneous Data Using Hypergraph Learning.” ACM Transactions on Intelligent Systems and Technology 10 (1): 1–26. https://doi.org/10.1145/3200765.

Cappello, Franck, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, and Frederic T Chong. 2019. “Use Cases of Lossy Compression for Floating-Point Data in Scientific Data Sets.” The International Journal of High Performance Computing Applications 33 (6): 1201–20. https://doi.org/10.1177/1094342019853336.

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