There are 3 repositories under nvcc topic.
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
Example Makefile for CUDA and C++ source files in a standard project layout.
bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码
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.
This repository contains various CUDA C programs demonstrating parallel computing techniques using NVIDIA's CUDA platform.
Autotuning NVCC Compiler Parameters, published @ CCPE Journal
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.
bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码
bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码
Educational CUDA C/C++ programming repository with commented examples on GPU parallel computing, matrix operations, and performance profiling. Requires a CUDA-enabled NVIDIA GPU.
Resources for autotuning CUDA compiler parameters
Nvidia NVCC CUDA programs for begineers.
Gradle plugin for integrating Cuda's nvcc tool
Personal libraries for deep learning with C++
CUDA programming in C++ for high-performance computing using Nvidia GPUs, optimized for tasks like machine learning, or image processing
Hungarian Algorithm for Linear Assignment Problem implemented using CUDA.
this repository contains the various programs that can written using CUDA Toolkit.
Parallel Heterogeneous CPU/GPU computing
A tutorial for getting started on running Tensorrt engine and Deep Learning Accelerator (DLA) models on threads
This is my thesis work for the Bachelor's degree in Physics. / Este es mi trabajo de titulación para la Licenciatura en Física.
Brief collection of GPU exercises (my reimplementation). Comes with relevant resources.
High-performance Canny edge detector with CPU and CUDA implementations. Loads PGM images, performs Gaussian smoothing, gradients, non-max suppression, and hysteresis. Benchmarks both paths, outputs edge maps, and reports speedup. Simple Makefile, sample images included.
⚒️ CUDA by Example: An Introduction to General-Purpose GPU Programming ⚒️
Implementação simples do Perceptron Multicamadas em CUDA.
GPU-powered batch FFT analysis of instrument audio samples using CUDA and cuFFT. Visualizes both time and frequency domains with Python—fast, scalable, and beautifully plotted.
Solutions to assignment given in the class of CO316
Problems of June day to day challenge in Leetcode
A plugin for Jupyter Notebook to run CUDA C/C++ code
A python script which helps visualize the sorting routine of bitonic sort (executed in parallel using nvcc).