Code for Sparse Matrix and Vector multiplication. Parallelised using CUDA and MPI

Prácticas de la asignatura "Computación distribuida y de altas prestaciones"

MPI-CAFFE implementation of <Improved Deep Metric Learning with Multi-class N-pair Loss Objective>

使用mpi并行计算模拟天体运行

MPI + NCCL tests with GPU Direct RDMA.

Meta-Iterative Map-Reduce to perform Regression massively parallely on a cluster with MPI and CUDA for GPU and CPU-nodes support.

Faster Integration using parallel processing.

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

Examples of PThreads, OpenMP, MPI and CUDA usage

Parallel EWH

Balanceamento de Carga em Aplicações Híbridas [MAC0219 - Programação Concorrente e Paralela - IME-USP]

High performance neural networks - using NN on the fly with MPI/OpenMP/CUDA (alpha version)

Multiple implementations of distributed matrix product

A many-GPU-centric two phase flow simulation code implementing the Physalis method

SC21 Tutorial on Multi GPU Usage at Exascale

This repo is to solve the all-pairs shortest path problem with CPU threads and then further accelerate the program with CUDA accompanied by Blocked Floyd-Warshall algorithm

use ncclSend ncclRecv realize ncclSendrecv ncclGather ncclScatter ncclAlltoall

"Parallel computation" course homework

This repository contains a framework with a GPU implementation of generalized convolution operators. The framework is designed for large image data sets and can run in a distributed system.