GPGPU Parallel User-User Collaborative Filtering System in CUDA C

sample programs implemented using cuda (gpu)

Implementation of a linear classifier on the Google California Housing Data Set in CUDA

Easy GPU programming for Javascript, Python, and beyond!

Pip3 TensorFlow C++ Custom Ops (NVIDIA GPU) - prototype

Cross platform, cross vendor GPU code without the hassle of external tools or compilers.

Tools : CUDA C, Multicore Programming, Batch Scripting, MATLAB

bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码

An imperfect example of some light effects modeling using Metal.

Repo for programs used in LNCC Summer Program 2023, an event of the National Laboratory of Scientific Computing (LNCC)

Signed-distance-function based ray-marching renderer written in GLSL in a fragment shader, for running on a GPU. Renders 3D fractals in real time. (C++/GLSL) - Jan 2019

Comparison of algorithms finding hamming distance equal to one, implemented on GPU and CPU

Collisions between particles simulated on GPU.

Tarea 2 del curso CC7515-1 Computación en GPU sobre distintas implementaciones y visualización del juego de la vida de Conway

Old notes (and new ones) of the Cuda by Example book

A distributed implementation of a deep learning framework in CUDA.

GLSL as a scripting language. Asynchronous IO runtime for Vulkan compute shaders.

GPU and stuff. I want to go somewhere with this.

This repository conducts a comprehensive analysis of image denoising technique - median blur, comparing GPU-accelerated (Numba) and CPU-based (OpenCV) processing speeds. Using diverse images, the project applies median filtering to assess efficiency providing insights into the practical impacts of hardware acceleration in real-world applications