Heterogeneous Parallel Programming Class - CUDA C (Coursera)

A backpropagation neural network implemented in CUDA

Implementation of a Gibbs-Metropolis sampling algorithm in CUDA

Bitonic sort algorithm multigpu and gpu in CUDA

GPU programming harnesses the power of Graphics Processing Units and parallel computing for intense tasks like numerical simulations in Astro- or Biophysics

GPU-based acceleration searching

GPU-based DNA sequence alignment program using Smith-Waterman

This project is a part of my thesis focusing on researching and applying the general-purpose graphics processing unit (GPGPU) in high performance computing. In this project, I applied GPU Computing and the parallel programming model CUDA to solve the diffusion equation.

MPI + NCCL tests with GPU Direct RDMA.

CUSL: CUDA port of GNU Scientific Library (GSL)

CUDA examples

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

A python API for GPU-powered stiff ODE models simulation

Example code for learning Cuda - C.

Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix M…

NVIDIA CUDA Tutorials

Minimal Examples of Parallel Programming with CUDA C/C++ and Python

Speeding up blind deconvolution of a blurred image by using GPUs

Evaluación Taller 4: CUDA