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HPC and Scientific Computing
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High-Performance configuration patterns and recipes.
Library and accelerator backend
MPIRUN wrapper script to generate and execute an MPIRUN command line.
Quantum chemistry and solid state physics software package
Library for specialized dense and sparse matrix operations, and deep learning primitives.
DBCSR: Distributed Block Compressed Sparse Row matrix library
Repositories
38Library and accelerator backend
Small utility library
Quantum chemistry and solid state physics software package
DBCSR: Distributed Block Compressed Sparse Row matrix library
High-Performance configuration patterns and recipes.
A scalable eigensolver for dense, symmetric (hermitian) matrices (fork of https://gitlab.mpcdf.mpg.de/elpa/elpa.git)
Metanet DNS Script
Spack's community package recipes
No description provided.
Official HPCG benchmark source code
No description provided.
Libint: high-performance library for computing Gaussian integrals in quantum mechanics
Library for specialized dense and sparse matrix operations, and deep learning primitives.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
MPIRUN wrapper script to generate and execute an MPIRUN command line.
BLAS++ is a C++ wrapper around CPU and GPU BLAS (basic linear algebra subroutines), developed as part of the SLATE project.
SLATE is a distributed, GPU-accelerated, dense linear algebra library targetting current and upcoming high-performance computing (HPC) systems. It is developed as part of the U.S. Department of Energy Exascale Computing Project (ECP).
TPP experimentation on MLIR for linear algebra
Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceleration.
MPI 2.5D PDGEMM algorithm test
OpenMM is a toolkit for molecular simulation using high performance GPU code.
No description provided.
CP2K containers
No description provided.
An auto-scaling cluster of build agents running in your own AWS VPC
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
PlaidML is a framework for making deep learning work everywhere.
An Open Source Machine Learning Framework for Everyone
A flexible, high-performance serving system for machine learning models
Github mirror of the official Eigen's repository (https://bitbucket.org/eigen/eigen)