Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake using PyBind11

Multicore programming course materials (Spring 2021)

👾 CUDA examples for deep learning problems

Sample codes for parallel programming using OpenMP on CPU and CUDA on GPU

A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvidia GPUs, for more details and results, see: https://arxiv.org/abs/1903.10041. The library is available for C++/CUDA as well as Python using Pybind11.

C++ implementation of a neural network using OpenMP and CUDA for parallelization.

K-Means clustering implementation with parallelization using OpenMP and CUDA for efficient computation.

gpumm - matrix-matrix multiplication by using CUDA, cublas, cublasxt and OpenACC.

Heterogeneous Parallel implementation to solve the Connected Components problem using OpenMP, CUDA and OpenCL.

Mean Shift C++17 implementations: Sequential, OpenMP and CUDA

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

Kmeans and DBSCAN CUDA/OpenMP parallel implementations.

High Performance Computing Mini Projects

Parallel programming for Merge sort algorithm using OpenMP and CUDA

Parallel EWH

Project for the course on Parallel and Distributed Computing, with implementations of Multilayer Game of Life in OpenMP, Rust and Cuda.

Image filtering in C++, OpenMP and CUDA

This project implements Causal Multi-Head Self-Attention (CMHSA) with three backends: a single-threaded CPU version, a multi-threaded CPU version, and a GPU-accelerated version.

Code for heterogeneous computing of product of two sparse matrices