Statistics for topic hpc
RepositoryStats tracks 579,129 Github repositories, of these 296 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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A curated list of awesome high performance computing resources
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Fork of E3SM used to develop exascale global atmosphere model written in C++
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
Parallel algorithms and data structures for tree-based adaptive mesh refinement (AMR) with arbitrary element shapes.
A curated list of awesome high performance computing resources
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Fork of E3SM used to develop exascale global atmosphere model written in C++
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
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
Making large AI models cheaper, faster and more accessible
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
A Slurm-based HPC workload management environment, driven by Ansible.
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.
Making large AI models cheaper, faster and more accessible
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
High performance AI inference stack. Built for production. @ziglang / @openxla / MLIR / @bazelbuild
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
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