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coralgemm

cuda-reduction-example

This example starts with a simple sum reduction in CUDA, then steps through a series of optimizations we can perform to improve its performance on the GPU. These examples were created alongside a series of lectures (on GPGPU computing) for an undergraduate parallel computing course. You can find the lecture slides in the slides/ directory.

gol-pi

Colour-cycling version of Conway's Game of Life for the Raspberry Pi

grn-crossover

hipcub

Reusable software components for ROCm developers

hiprand

Random number library that generate pseudo-random and quasi-random numbers.

mpi-openmp-examples

A couple of simple parallel computing examples using the MPI and OpenMP libraries.

mpso-gpu

A parallel, GPU-accelerated hybrid metaheuristic algorithm that combines Multi-Swarm Particle Swarm Optimization with components of a Genetic Algorithm. The purpose of this hybridization was to (attempt to) improve the algorithm's ability to escape from local optima encountered in the solution space. This code was written for my Masters thesis and, as such, documentation and cleanup are still a work in progress :) The code is written in OpenCL and is designed to leverage the zero-copy features of the AMD APU architecture, which had just come out at the time.

multicellular-grn

rocprim

ROCm Parallel Primitives

rocrand

RAND library for HIP programming language

rocthrust

ROCm Thrust - run Thrust dependent software on AMD GPUs

running-scripts

A few Python scripts for calculating pace, splits, and other running stats.

threadpool

Practicing using C++ concurrency features.

unicellular-grn

An evolutionary algorithm for generating programs based on a unicellular model of a gene regulatory network.