Scientists working on the VeloC-SZ project have optimized SZ, an error-bounded prediction-based lossy compression model.
Researchers supported by the Exascale Computing Project have developed a Multiscale Modelling Framework (MMF) configuration of E3SM, which involves embedding a limited-area cloud resolving model into each column of the global E3SM model.
Researchers working with the Exascale Computing Project (ECP) have demonstrated a novel moment invariant pattern detection algorithm to drive in situ pattern recognition during simulations running on high-performance computing architectures.
HeFFTe (highly efficient FFTs for Exascale, pronounced “hefty”) enables multinode and GPU-based multidimensional fast Fourier transform (FFT) capabilities in single- and double-precision.
SOLLVE is an Exascale Computing Project (ECP) focused on defining and developing OpenMP capabilities for the high-performance computing (HPC) community.
Matrix Algebra on GPU and Multicore Architectures (MAGMA) is a well-known and performant choice for those who desire Basic Linear Algebra Subroutines (BLAS) and Linear Algebra Package (LAPACK) functionality that runs on CPUs, GPUs from various vendors, and across multiple GPUs in a single node.
