CUDA Core Compute Libraries
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Updated
Aug 17, 2024 - 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)
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.
CMU 15-618 Final Project - Parallel Panorama
Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:
Basic tutorial for ESMPy Python package
Trajectory Optimized Nufft
A Tabu Search pseudo-parallel algorithm for the Vehicle Routing Problem
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