Statistics for topic hpc
RepositoryStats tracks 584,796 Github repositories, of these 297 are tagged with the hpc topic. The most common primary language for repositories using this topic is C++ (98). Other languages include: Python (59), C (32), Go (13), Jupyter Notebook (11)
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The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Making large AI models cheaper, faster and more accessible
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Lamellar is an asynchronous tasking runtime for HPC systems developed in RUST
This repository containts materials for End-to-End AI for Science
Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems.
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Making large AI models cheaper, faster and more accessible
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications incl...
An open collaborative repository for reproducible specifications of HPC benchmarks and cross site benchmarking environments
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Making large AI models cheaper, faster and more accessible
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
Lightweight fast function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Parallel algorithms and data structures for tree-based adaptive mesh refinement (AMR) with arbitrary element shapes.
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
Welcome to Peridynamic Laboratory (PeriLab), a powerful software solution designed for tackling Peridynamic problems.
Making large AI models cheaper, faster and more accessible
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Lightweight fast function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
A Cross-Platform, Multi-Cloud High-Performance Computing Platform
A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust
