There are 5 repositories under parallel-algorithm topic.
This is a list of useful libraries and resources for CUDA development.
Shape Aware Parallel Mesh Simplification Algorithm
ScaLAPACK development repository
Header only framework for data analysis in massively parallel platforms.
A modern interface for implementing bulk-synchronous parallel programs.
Theoretically Efficient and Practical Parallel DBSCAN
Parallel map, reduce, etc. operations using coroutines in Kotlin.
Basic tutorial for ESMPy Python package
Trajectory Optimized Nufft
Numerical methods for edge and scrape-off layer blob and turbulence simulations. Homepage:
Parallel computing implementation examples
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).
An algorithmic framework for parallel dual decomposition methods in Julia
coursera
:coffee:Parallel programming course at Peking University
A parallelised implementation of the K-means clustering algorithm using C Pthreads and separately using OpenMP specification for C
Data partitioning toolbox for tomographic reconstruction
Python platform for parallel Surrogate-Based Optimization
:coffee:Implement of Parallel Matrix Multiplication Methods Using FOX Algorithm on Peking University's High-performance Computing System
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Computes graph connectivity for large graphs
implementation of PARADIS - fast parallel radix sort algorithm. http://www.vldb.org/pvldb/vol8/p1518-cho.pdf