Just a bunch of methods and scripts to test performances within containers
-
Updated
Apr 10, 2017 - C
Just a bunch of methods and scripts to test performances within containers
Gravitational N-Body simulation for high performance and GPU programming
Attacking a MD5-based token generator, using distributed computing and GPU power.
A configurable OpenCL memory benchmark for assessing access stride impact
An implementation of mean shift clustering algorithm on CUDA (and CPU too).
Library to manipulate tensors on the GPU.
Repositorio dedicado a la asignatura de GPUs y Aceleradores
CUDA implementation of a Direct Simulation Monte Carlo method for gas dynamics
Parallel Matrix Multiplication with OpenMP, MPI and CUDA
This repository includes all the code I'll write for practicing and learning parallel computing.
Computer Science Center GPGPU course, task 1, Fall '18
Computer Science Center GPGPU course, task 2, Fall '18
The tool for calculating PBKDF2 hashes on GPU
CUDA bindings for Ruby
A small gpu accelerated raytracer written in pure c
How fast can we brute force a 64-bit comparison?
Add a description, image, and links to the gpu-computing topic page so that developers can more easily learn about it.
To associate your repository with the gpu-computing topic, visit your repo's landing page and select "manage topics."