High-performance GPU implementations of Gaussian Blur and Sobel Edge Detection with CUDA, featuring optimized memory usage, benchmarking, and visualization of speedups over CPU.

A Paralellised Parton Shower, written in CUDA. Generates Partonic Level e+e- Events.

My solutions

AIE: an Adaptive Inference Engine for Decision Tree Ensemble on GPU

CUDA C++ program demo to find all points within epsilon distance of each point.

CUDA-accelerated image processing tool with blur, sharpen, and edge detection filters

Introduction to Parallel Programming class code

GPU programming project

Parallel CUDA C Programming for GPGPU

Generic header-only tensor library, intended be use as a middle layer between GPU and CPU devices in heterogeneous applications.

A simple program that measures GDDR latency with different access strides in CUDA.

This program takes an input file of integers and turns it into a sorted array of integers by using the CPU and the GPU with timings to compare speeds

Repo for CUDA C++ GPU kernels for ML and HPC.

This is CUDA programming which is a programming language that uses the GPU and parallel computing platform and an API model developed by NVIDIA.

Implemented activation rules and a depth-first hierarchy strategy, to efficiently optimize activation point requirements for each node within a large-scale graph with 10 Million vertices and 100 Million edges.

Using streams to further optimize histogram

CUDA playground