nvcc

TravisWThompson1/Makefile_Example_CUDA_CPP_To_Executable

Example Makefile for CUDA and C++ source files in a standard project layout.

termoshtt/link_cuda_kernel

HowTo: Compile CUDA with nvcc, and link to Rust

codingonion/cuda-beginner-course-cpp-version

bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码

minnukota381/cuda-parallel-c-programming

This repository contains various CUDA C programs demonstrating parallel computing techniques using NVIDIA's CUDA platform.

ShadyBoukhary/GPU-research-FFT-OpenACC-CUDA

Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix Multiplication. Both routines are implemented in the two current most popular many-core programming models CUDA and OpenACC. A Fast Fourier Transform (FFT) samples a signal over a period of time and divides it into its frequency components, computing the Discrete Fourier Transform (DFT) of a sequence. Unlike the traditional approach to computing a DFT, FFT algorithms reduce the complexity of the problem from O(n2) to O(nLog2n). Matrix multiplication is a cornerstone routine in Mathematics, Artificial Intelligence and Machine Learning. This research also shows that the nature of the problem plays a crucial role in determining what many-core model will provide the highest benefit in performance.

phrb/gpu-autotuning

Autotuning NVCC Compiler Parameters, published @ CCPE Journal

codingonion/cuda-beginner-course-python-version

bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码

codingonion/cuda-beginner-course-rust-version

bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码

TheUnsolvedDev/CUDA_NN_FS

This repository features a from-scratch implementation of a neural network using CUDA and C. The primary goal of this project is to leverage CUDA's parallel computing capabilities to significantly accelerate the training and inference processes of neural networks, utilizing the computational power of NVIDIA GPUs.

phrb/nvidia-workshop-autotuning

Resources for autotuning CUDA compiler parameters

alpha74/CUDA_basics

Nvidia NVCC CUDA programs for begineers.

alpha74/HungarianAlgoCUDA

Hungarian Algorithm for Linear Assignment Problem implemented using CUDA.

gvvsnrnaveen/cuda

this repository contains the various programs that can written using CUDA Toolkit.

jbcbezerra/gradle-nvcc

Gradle plugin for integrating Cuda's nvcc tool

jinparksj/deeplearning_cpp_libraries

Personal libraries for deep learning with C++

neudinger/equadiffGPU

Parallel Heterogeneous CPU/GPU computing

Rodolfo-Gallegos/Brownian-Dynamics-Simulation-OpenACC

This is my thesis work for the Bachelor's degree in Physics. / Este es mi trabajo de titulación para la Licenciatura en Física.

gilbertobastos/prj_perceptron_multicamadas_CUDA

Implementação simples do Perceptron Multicamadas em CUDA.

kangyolo/get-started-jetson-nano

Guidance for Nvidia Jetson Nano

mattbdean/novaXfer

Lightning fast NVCC course equivalencies

Sahil-Rajwar-2004/vector-CUDA

vector calculation with GPU acceleration using CUDA

Hobbbbes/MandelBrot-Cuda-olc-PixelGameEngine

iamsubhranil/Renderer

A barebones 3D renderer in C++ and Python

Kvatsx/GPU-Computing-Assignments

manikandan-ravikiran/Leetcode_June_Challenge

Problems of June day to day challenge in Leetcode

mkf450/nvcc4jupyter

A plugin for Jupyter Notebook to run CUDA C/C++ code

pockemon/Computer-Architecture-Lab

Solutions to assignment given in the class of CO316

Sahil-Rajwar-2004/pycu

PyCu

underscoreanuj/bitonic-sort-visualization

A python script which helps visualize the sorting routine of bitonic sort (executed in parallel using nvcc).