CUDA Core Compute Libraries
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Updated
Feb 25, 2026 - C++
CUDA Core Compute Libraries
OpenCL integration for Python, plus shiny features
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
NetworKit is a growing open-source toolkit for large-scale network analysis.
This is a list of useful libraries and resources for CUDA development.
the fastest in-memory index in the East 东半球最快并发索引
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
ScaLAPACK development repository
Shape Aware Parallel Mesh Simplification Algorithm
A novel parallel UCT algorithm with linear speedup and negligible performance loss.
Header only framework for data analysis in massively parallel platforms.
Theoretically Efficient and Practical Parallel DBSCAN
Modern library for bulk-synchronous parallel programs.
Quad/octree building for FMMs in Python and OpenCL
Super Fast 🔥 File Downloader 🚀 (parallels connections)
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
Parallel map, reduce and more using coroutines in Kotlin.
Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:
CMU 15-618 Final Project - Parallel Panorama
Basic tutorial for ESMPy Python package
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