GPGPU Parallel User-User Collaborative Filtering System in CUDA C
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Updated
Dec 28, 2017 - C++
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
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.
This project seeks to accelerate FDTD computations by implementing parallel programming techniques for both GPUs and CPUs.
bilibili视频【CUDA 12.1 并行编程入门(Python语言版)】配套代码
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