Library
Featured Publication Summaries
EXAALT researchers explore speculative task methods to improve scalability
A team working on the ECP’s Exascale Atomistic Capability for Accuracy, Length, and Time (EXAALT) project has developed a task-level speculative method that maximizes parallelism and computational throughput at large scales by predicting whether task-level outputs will be used in subsequent executions.
Novel algorithm delivers flexibility, efficiency for sparse linear system solvers on HPC infrastructures
Researchers funded by the Exascale Computing Project (ECP) have extended the sparse direct solver STRUMPACK to GPU frameworks, providing more flexibility and efficiency for execution of large-scale sparse linear solvers on high-performance computing infrastructures.
HPCToolkit enhancements target improved performance analysis for exascale era
A team funded by the Exascale Computing Project is preparing to release a new version of HPCToolkit, a suite of performance analysis tools that helps developers identify and diagnose performance bottlenecks on emerging exascale systems.

Technical Highlights
Clover: A Trifecta of Vendor-Agnostic, GPU-Accelerated Numerical Libraries
By Rob Farber, contributing writer Numerical libraries have an enormous impact on scientific computing because they act as the gateway middleware that enables many applications to run on state-of-the-art hardware. Algorithmic and implementation advances in these libraries can increase the speed and accuracy of many modeling and simulation packages and can provide access to new […]
SUNDIALS and hypre: Exascale-Capable Libraries for Adaptive Time-Stepping and Scalable Solvers
SUNDIALS and hypre are two complementary but distinct numerical libraries that align with the mission of the Exascale Computing Project's software stack to be exascale capable and usable.
ExaBiome: Gordon Bell Finalist Research Infers the Functions of Related Proteins with Exascale-Capable Homology Search
The ExaBiome project has been selected as a 2022 Gordon Bell Finalist.