NVIDIA/cccl
CUDA Core Compute Libraries
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CUDA Core Compute Libraries
Fast inference engine for Transformer models
Write Java. Run on GPUs. Fast.
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
A General-purpose Task-parallel Programming System in C++
The development repository for the deal.II finite element library
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.
krABMaga: A modern developing art for reliable and efficient Agent-based Model (ABM) simulation with the Rust language
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
:gem: Feel++: Finite Element Embedded Language and Library in C++
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
Computing with Python functions.
a Productive Parallel Programming Language
Python bindings for MPI
OpenCL integration for Python, plus shiny features
Digital Image Correlation & Digital Volume Correlation Library
A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations
The Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.
A framework for high-performance medical image processing, neural network inference and visualization
Parallel algorithms and data structures for tree-based adaptive mesh refinement (AMR) with arbitrary element shapes.
Parallel programming with Python
Lightweight fast function pipeline (DAG) creation in pure Python for scientific (HPC) workflows 🕸️🧪
Low-latency NUMA-aware fork-join thread-pool with zero allocations, syscalls, CAS, or false-sharing on the hot path for C, C++, Rust, and Zig 🍴
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
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