105Getting Computing Luminary Jack Dongarra’s Perspective on the Exascale Computing ProjectJack Dongarra22:15
104Siting the El Capitan Exascale Supercomputer at Lawrence Livermore National LaboratoryBronis R. de Supinski 31:33
103Revisiting the CANcer Distributed Learning Environment (CANDLE) ProjectJohn Gounley and Heidi Hanson21:41
102Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCFKatherine Riley31:29
101Discussing NERSC's Unique Global Role and Close Collaboration with ECPRichard Gerber 29:39
100Reflecting on the ‘Why’ behind Supercomputing Simulations: Advancing ScienceBronson Messer28:03
99ECP's WarpX Team Successfully Models Promising Laser Plasma Accelerator TechnologyJean-Luc Vay, Axel Huebl, Henri Vincenti, and Luca Fedeli32:14
98Providing Exascale-Class Multiphysics Simulation Capability to Multiple Science Domains Anshu Dubey and J. Austin Harris 29:55
97Enabling Highly Accurate and Reliable Predictions of the Basic Properties of Materials”Paul Kent22:27
96Leveraging Machine Learning for Computational and Experimental Science and EngineeringLogan Ward18:26
95Enabling Cross-Project Research to Strengthen Math Libraries for Scientific SimulationsNatalie Beams24:23
94Revisiting the E4S Software Ecosystem Upon Release of Version 22.02Mike Heroux16:34
93Preparing the PETSc/TAO Software Suite to Support Exascale Scientific ApplicationsTodd Munson and Richard Tran Mills23:15
92Helping Users Deploy High-Performance Computing Tools and LibrariesSameer Shende10:04
91Let's Talk Exascale Code Development: CANcer Distributed Learning Environment (CANDLE)Harry Yoo, Thomas Brettin, and Venkatram Vishwanath 15:42
90Designing the Electrical Infrastructure for a Supercomputer with Unprecedented Power DemandsRick Griffin12:17
89Helping Large-Scale Multiphysics Engineering and Scientific Applications Achieve Their GoalsSiva Rajamanickam25:54
88Frontier: Guiding the Design and Construction of the Mechanical SystemsDavid Grant13:26
87Frontier: ORNL’s Justin Whitt on Deploying the Nation’s First Exascale SupercomputerJustin Whitt9:37
86An Interview with Exascale Computing Project Director Doug KotheDoug Kothe24:01
85Sunita Chandrasekaran Reflects on Teaching Supercomputing and Leading the ECP SOLLVE ProjectSunita Chandrasekaran18:52
84The Flux Software Framework Manages and Schedules Modern Supercomputing WorkflowsDong Ahn, Stephen Herbein, Dan Milroy, and Tapasya Patki35:04
83Optimizing the North American Power Grid to Improve Reliability and Support Grid DecarbonizationSlaven Peles13:21
82Let’s Talk Exascale Code Development: WDMapp—XGC, GENE, GEMTim Williams, Aaron Scheinberg, Kai Germaschewski, and Bryce Allen49:13
81Applying Graph Algorithms to Solve Key Science Problems of Importance to the NationMahantesh Halappanavar, Aydin Buluc, Marco Minutoli, Alex Pothen, and Erik Boman36:37
80Update with Doug Kothe: Progress, Annual Meeting Highlights, and MoreDoug Kothe22:02
79Let’s Talk Exascale Code Development: HACCNicholas Frontiere, Steve Rangel, Michael Buehlmann, and JD Emberson22:02
78Ensuring the Exascale Ecosystem Lands Successfully at Energy Department FacilitiesRyan Adamson17:35
77Let’s Talk Exascale Code Development: EQSIMBrian Homerding and Houjun Tang18:43
76Exploiting Exascale Computing to Make Earthquake Simulation Codes More PowerfulDavid McCallen16:13
75Supporting Scientific Discovery and Data Analysis in the Exascale EraJim Ahrens18:43
74Collaborative Strength Enables the EXAALT Project to Optimize GPU PerformanceDanny Perez and Rahul Gayatri22:10
73Intel Executive Discusses Engagement with Energy Department, Argonne, and ECPTrish Damkroger7:41
72Special—ECP Leadership Discusses Project Highlights, Challenges, and the Expected Impact of Exascale ComputingMembers of the ECP leadership team1:26:54
71Scaling up Clean Fossil Fuel Combustion Technology for Industrial UseMadhava Syamlal and Jordan Musser33:55
70E3SM-MMF: Forecasting Water Resources and Severe Weather with Greater ConfidenceMark Taylor17:15
69Major Update of the MFEM Finite Element Library Broadens GPU SupportTzanio Kolev6:28
68ExaAM Project Aims to Transform Additive Manufacturing through Exascale SimulationJohn Turner25:00
67Flexible Package Manager Automates the Deployment of Software on SupercomputersTodd Gamblin5:54
66Reducing the Memory Footprint and Data Movement on Exascale SystemsPeter Lindstrom12:36
65Accelerating the Adoption of Container Technologies for Exascale ComputingAndrew Younge7:51
64Creating the Ability to Design Smaller, Cheaper Particle AcceleratorsAxel Huebl, Jean-Luc Vay, and Maxence Thévenet9:12
63Delivering Exascale Machine Learning Algorithms and Tools for Scientific ResearchPeter Nugent, Frank Alexander, and Brian Van Essen10:42
62Collaborative Community Impacts High-Performance Computing Programming EnvironmentsHal Finkel10:43
61Helping Applications Leverage Future Computing Architectures with First-Rate Discretization LibrariesTzanio Kolev9:47
60Simplifying the Deployment of High-Performance Computing Tools and LibrariesSameer Shende8:34
59Ushering in a New Approach to Scientific ComputingIan Foster7:12
58Project Update: Excellent Review Results, Readiness for Accelerated Architectures, MoreDoug Kothe31:13
57Solving Multiphysics Problems at Scale on Today’s Most Powerful SupercomputersStuart Slattery and Damien Lebrun-Grandie13:38
56Earth and Space Science Applications Simulate Elusive Phenomena to Confirm ObservationsAnshu Dubey13:26
55Rewriting a Legacy Computational Chemistry Software Package for Larger Simulations and Exascale SpeedBert de Jong, Sriram Krishnamoorthy, and Huub Van Dam7:16
54Providing Exascale Solutions for the Assembly and Analysis of Metagenomic DataKathy Yelick and Lenny Oliker12:40
53Developing a Codebase for Deep Learning on Supercomputers to Fight CancerGina Tourassi14:54
52Aiming to be among the First Applications to Run at ExascaleKatrin Heitmann8:58
51Method Enables Collaborative Software Teams to Enhance Effectiveness and EfficiencyElaine Raybourn14:50
50Tackling the Complex Task of Software Deployment and Continuous Integration at FacilitiesRyan Adamson5:56
49Optimizing Math Libraries to Prepare Applications for Exascale ComputingUlrike Meier Yang14:03
48An Alternative to OpenMP and an On-Ramp to Future C++ StandardsChristian Trott10:26
47The Ginkgo Library Project is Developing a Vision for Multiprecision AlgorithmsHartwig Anzt12:51
46Software Enables Use of Distributed In-System Storage and Parallel File SystemSarp Oral and Kathryn Mohror11:28
45R&D 100 Award-winning Software Enables I/O Performance Portability and Code ProgressKathryn Mohror and Elsa Gonsiorowski12:18
44ECP Team Reengineers Materials Simulation Code, Achieves Atypical Performance IncreaseDanny Perez13:39
43ECP’s ExaStar Project Seeks Answers Hidden in the CosmosDaniel Kasen and Bronson Messer12:09
42A Discussion with ECP's Director—July 2019Doug Kothe29:02
41Exascale Computing Could Drastically Boost the Capabilities of Energy ApplicationsTom Evans9:27
40High Precision for Studying the Building Blocks of the UniverseAndreas Kronfeld5:58
39A Potential Revolution for X-Ray Free-Electron Laser FacilitiesAmedeo Perrazo9:01
38Predictive Simulations May Point to the Best Design for Fusion ReactorsAmitava Bhattacharjee6:37
37Codes to Solve Multiphysics ProblemsDavid Daniel11:43
36The EZ Project Focuses on Providing Fast, Effective Exascale Lossy Compression for Scientific DataFranck Cappello24:04
35Addressing the Challenge of Continuous Integration of Software at Department of Energy FacilitiesDave Montoya9:15
34Demonstrating In-Situ Computer Simulation Visualization and Analysis on the Sierra SupercomputerCyrus Harrison, Eric Brugger, and Matt Larsen9:14
33A Powerful Tool for Improving Parallel Computing ApplicationsSameer Shende6:16
32Aiming to Simulate the Universe with Maximal Computing PowerSalman Habib7:24
31Efforts Directed at Making Wind Farms More EfficientMichael Sprague3:09
30ORNL’s David Bernholdt on the Importance of Message Passing Interface to SupercomputingDavid Bernholdt8:02
29IDEAS-ECP Helps Ensure the Exascale Software Ecosystem is Optimally Productive and SustainableMike Heroux and Lois Curfman McInnes17:45
28AMReX Helps Scientists Optimally Focus Computing Power on the Most Critical ProblemsAnn Almgren3:53
27Using the Sierra Supercomputer to Explore the Mechanism of a Vicious CancerFred Streitz13:21
26Helping Scientists Create and Use Very Large Volumes of Data in ECP ActivitiesRob Ross9:34
25Spack: The Deployment Tool for ECP’s Software StackTodd Gamblin13:54
24Converging and Consolidating Algorithmic and Technology Innovation in Dense Linear Algebra SoftwareJakub Kurzak16:41
23A Discussion with ECP's Director—August 2018Doug Kothe20:02
22Improving the Ability to Accurately Predict the Operating Behavior of Small Modular Nuclear ReactorsSteve Hamilton11:03
21The Flexible Computational Science Infrastructure (FleCSI) Project: Supporting Multiphysics Application DevelopmentBen Bergen18:46
SpecialECP Software Technology (ST) Capability Assessment Report (CAR)Mike Heroux9:33
20Influencing the Evolution of the MPI Standard for Optimal Exascale Scientific ApplicationsPavan Balaji and Ken Raffenetti23:54
19Exascale Holds the Key to Generating Realistic and Accurate Scenarios of Future EarthquakesDavid McCallen22:58
18ADIOS: Providing a Framework for Scientific Data on Exascale SystemsADIOS research team14:58
SpecialHardware and Integration Update—May 17 2018Terri Quinn8:09
SpecialSoftware Technology Update—May 17 2018Michael Heroux11:39
SpecialApplication Development Update—May 17 2018Andrew Siegel8:31
17Making the Development of Scientific Applications Effective and Efficient for Exascale and BeyondMike Heroux17:46
16Transforming Combustion Science and Technology with Exascale SimulationsJackie Chen14:19
15Getting Ready to Model Molecular Properties at Exascale with NWChemExThom Dunning13:46
14Harnessing Exascale for the Long-Term Design and Planning of Urban SystemsCharlie Catlett23:25
13Developing Communication Software Libraries with Low Operating OverheadsScott Baden11:31
12Software Ecosystem for High-Performance Numerical LibrariesLois Curfman McInnes20:36
11Efficiently Using Power and Optimizing Performance of Scientific ApplicationsTapasya Patki13:07
10ECP Co-Design Center Looks at Particle-Based Applications for ExascaleTim Germann11:48
9Pushing MPI and Open MPI to ExascaleDavid Bernholdt9:09
8Addressing Fault Tolerance and Providing Data Reduction at ExascaleFranck Cappello12:24
7Delivering Efficient Parallel I/O with HDF5 on Exascale Computing SystemsQuincey Koziol13:10
6Picking the Best Set of Proxy Apps to Represent ECP ApplicationsDavid Richards11:07
5Conducting Unbiased Annual Evaluations of ECP ApplicationsKenny Roche11:36
4Extending the Reach of Molecular Dynamics Simulations by Leveraging ExascaleDanny Perez14:29
3Making Components of GAMESS Software More ScalableMark Gordon13:36
2Understanding, Storing, and Curating Scientific Data at ExascaleJim Ahrens7:57
1Lighting the Way to Exascale Precision MedicineRick Stevens9:05
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