CEID Course on High Performance Computing - Coursework

Parallel GPU Inverse Distance Weighting

GPGPU Inverse Distance Weighting using matrix vector multiplication

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.

GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016

Modelling parallel processing with GPU

This CUDA code solves for steady Stokes flow for a channel of width one, length one, and with a pressure drop of magnitude P between the inlet and the outlet.

Projects from graduate General Purpose Graphics Processioning Unit (GPGPU) computing course. Parallel algorithms using CUDA

⏱️ 📈 💎 Projects based in High Performance Computing Labs. This projects was built using C++ (C Plus Plus) and CUDA (Compute Unified Device Architecture). This repository it's based in some practical lab exercises and examples related with High Performance Computing, among many others!

A collection of GPU and high-performance computing programs written in CUDA for CS89.25/189.3, a graduate-level CS course at Dartmouth.

CUDA Finite Difference Library

Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.

Repo for all programs performed in HPC lab

5 problem sets of parallel programming on CPU and GPU. University projects for High Performance Computing Systems (Fall 2016).

AD with Enzyme through Lulesh.

A way to compute PCA through CUDA and GPU

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

In this repository, you will find a serial and distributed GPU-based implementation of the ray tracing simulation.