Ang's CUDA-learn project

Upload of CUDA programs developed in my GPU Computing Course

Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP

Math framework focusing on machine learning written primarily for NVIDIA GPUs.

GPU Framework for Radio Astronomical Image Synthesis

GPU Steiner is an improved version of a well known KMB algorithm, a two approximation algorithm. We have two implementations seqCPU and parallel GPU version.

Sample Code for Computing the Aiyagari (1994) in CUDA (GPU). Hope it is useful for those interested in parallelizing quantitative macroeconomics models.

A tutorial about how to install CUDA Toolkit and code with your GPU.

Understanding data level parallelism with CUDA

An extension library of WMMA API (Tensor Core API)

This repo contains some CUDA C++ code examples that demonstrate how to use GPUs for parallel computing. Covering topics such as dynamic parallelization, Optimization, ....etc

Cuda Programming in GPU Computing Course(MCC302) at IIT ISM Dhanbad

Optimized Parallel Sum program demonstrating CPU vs GPU performance

A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.

Fast calculation of specific pairs in a set of numbers

Accelerating Shortest Path algorithms on GPUs

Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)