🍎 One kernel a day keeps high latency away. A hands-on CUDA learning path featuring a rich collection of kernels, from the basics to peak performance, seamlessly integrated as PyTorch C++ extensions.

coding CUDA everyday!

An implementation of parallel exclusive scan in CUDA

CS344 - Introduction To Parallel Programming course (Udacity) proposed solutions

bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码

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

CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.

CUDA implementation of parallel Depth First Search (DFS) algorithm and it's comparison with a serial C++ DFS implementation.

My GitHub Repo for UIUC ECE408 Applied Parallel Programming, mainly focus on CUDA programming and algorithm implementation.

A collection of awesome algorithms, implemented in CUDA.

study of cutlass

ECE408 (Applied Parallel Programming) Fall 2022 MP

GPU Parallel Computing software solution examples with CUDA

A simple library-less CUDA implementation of the OneSweep sorting algorithm.

This is our Final Year Project titled " Implementation of seam carving for image retargeting using CUDA enabled GPU"

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

This repository contains my coursework and projects completed during the GPU Programming Specialization offered by Johns Hopkins University

A CUDA-accelerated convolutional autoencoder and SVM pipeline for CIFAR-10 image classification.

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.