ECP-funded work has created a novel end-to-end analytics and visualization program for solving domain-specific issues in multiphase flow simulations.
A team working on the ECP’s Exascale Atomistic Capability for Accuracy, Length, and Time (EXAALT) project has developed a task-level speculative metho
Researchers funded by the Exascale Computing Project (ECP) have extended the sparse direct solver STRUMPACK to GPU frameworks, providing more flexibil
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
The use of artificial intelligence/machine learning (AI/ML) methods to analyze health information brings great promise for learning about disease but
The dawn of exascale computing will bring exciting new capabilities to bear on scientific investigation as well as unprecedented challenges that we sh
An Exascale Computing Project–funded team has developed MemHC, a GPU memory management framework that optimizes the many-body correlation function.
Scientists funded by the Exascale Computing Project have developed Metall, a persistent memory allocator that enables applications to allocate memory
A team of researchers working with the Exascale Computing Project has completed the first real-world demonstration of the effectiveness of Lagrangian
A team of scientists working with the ExaGraph Co-Design Center provided a review of work done under the Exascale Computing Project (ECP) to optimize
Computer scientists working with the Exascale Computing Project (ECP) to advance LLVM compiler infrastructure have shown that OpenMP is an effective t
Researchers working with the ExaIO project have developed an asynchronous input/output (I/O) framework for HDF5 (Hierarchical Data Format version 5),
Scientists working with the Exascale Computing Project (ECP) have developed Ginkgo, a sparse linear algebra library designed to increase portability o
Researchers supporting the development of NWChemEx, an open-source, exascale software platform for high-performance quantum chemistry simulations, hav
A team funded by the Exascale Computing Project (ECP) have ported and scaled WarpX, a particle-in-cell (PIC) code for solving the motion of relativist
Tusas, a novel open-source phase-field simulation framework, represents a superior tool for studying solidification dynamics and microstructure format
With the latest Kokkos release, researchers with the Exascale Computing Project (ECP) continue to address the challenge of diverse programming models
Researchers funded by the Exascale Computing Project have demonstrated an alternative to MPI, the de facto communication standard for high-performance
Researchers working with the nuclear fusion device simulation application WDMApp for the Exascale Computing Project have developed EFFIS, a workflow f
Scientists working on the Exascale Computing Project’s ExaSMR project have developed a comprehensive simulation framework targeting the entire small m
