OpenCL integration for Python, plus shiny features
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Updated
May 14, 2024 - Python
OpenCL integration for Python, plus shiny features
CUDA C++ Core Libraries
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)
Shape Aware Parallel Mesh Simplification Algorithm
ScaLAPACK development repository
Header only framework for data analysis in massively parallel platforms.
A novel parallel UCT algorithm with linear speedup and negligible performance loss.
A modern interface for implementing bulk-synchronous parallel programs.
Quad/octree building for FMMs in Python and OpenCL
Theoretically Efficient and Practical Parallel DBSCAN
Parallel map, reduce and more using coroutines in Kotlin.
Basic tutorial for ESMPy Python package
CMU 15-618 Final Project - Parallel Panorama
Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:
Trajectory Optimized Nufft
A Tabu Search pseudo-parallel algorithm for the Vehicle Routing Problem
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