Hpc
Showing 33 of 33 projects
A high-level, high-performance dynamic programming language for technical computing.
A unified deep learning system for efficient large-scale model training and inference with advanced parallelism strategies.
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
A command-line utility for querying and monitoring NVIDIA GPU status with a human-readable output.
An open-source cluster resource management and job scheduling system for Linux-based high-performance computing.
An open source container platform designed for simplicity, speed, and security in HPC and shared computing environments.
An open-source implementation of the Message Passing Interface (MPI) specification for high-performance computing.
A C++ programming model for writing performance-portable applications targeting all major HPC platforms.
A high-performance GPU-accelerated Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends.
A C++ GPU computing library providing an STL-like interface for OpenCL-based parallel programming.
A modern C++20 GPU numerical computing library with Python-like syntax for near-native performance on NVIDIA GPUs.
A collection of reusable scientific computing software components for solving large-scale, complex multi-physics engineering problems.
A Kubernetes batch scheduler for high-performance workloads like AI/ML, BigData, and HPC.
An open-source workflow management system for bioinformatics that scales from one-off use cases to massive production environments.
An AWS-supported open-source tool to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud.
An AWS-supported open-source tool to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud.
Pythonic orchestration tool for AI/ML, HPC, and quantum computing workflows across heterogeneous compute environments.
A lightweight, header-only C++ tensor algebra framework delivering bare-metal performance for small matrix/tensor operations via compile-time optimizations.
Rust bindings for ArrayFire, a high-performance parallel computing library with support for CUDA, OpenCL, and CPU backends.
A Python tool for generating Dockerfiles and Singularity definition files from high-level recipes for HPC containers.
An extensible Rust framework for backend-agnostic, high-performance parallel computations on CUDA, OpenCL, and CPU.
A parallel deep learning framework written in modern Fortran for training and inference of dense, convolutional, and transformer networks.
Pure Python 3-D geographic coordinate conversions for geospace applications, with optional NumPy acceleration.
An exascale many-physics flow solver for compressible multi-phase simulations, scaling to 200 trillion grid points on 43K+ GPUs.
A large-scale scientific visualization platform for interactive ray-tracing of neurons and other biological data.
Fortran application interfaces for accessing netCDF scientific data files, providing self-describing, network-transparent data storage.
A coherent Ansible roles collection for deploying and managing large-scale clusters of Linux nodes.
A pure Fortran 2003+ OOP library for reading and writing VTK XML files for scientific visualization.
An OCI-compatible container engine designed specifically for running Linux containers on High Performance Computing (HPC) environments.
An open-source Fortran 2003 solver for Navier-Stokes equations using finite volume methods with parallel computing capabilities.
A Chef cookbook for building and bootstrapping AWS ParallelCluster, an HPC cluster management tool for AWS.
A curated collection of Nix resources for high-performance computing environments, including package sets, tutorials, and documentation.
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