A backpropagation neural network implemented in CUDA
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Updated
Feb 5, 2017 - Cuda
A backpropagation neural network implemented in CUDA
Parallel identification of strongly connected components on GPU
CUDA examples
Parallelized histogram equalization for gray scale images using GPUs in CUDA C++ in a consumer-producer aproach (streams, RDMA, InfiBands)
Parallel Programming Course - Fall 2022 - Lecturer : Dr. Matin Hashemi
CUDA C library which implements SAT branching heuristics on the GPU.
A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++
Code from my Tutorial series on Hive about Nvidia's CUDA API
GPU-ported Non-Local-Means for accelerated image denoising
Cuda learning notebook
Solving N-Puzzle problem using AI Algorithms on GPU CUDA
Speeding up blind deconvolution of a blurred image by using GPUs
Upload of CUDA programs developed in my GPU Computing Course
RMAT Graph Generator for NVIDIA CUDA
Old notes (and new ones) of the Cuda by Example book
CLE Third Assignment - The objective of this project was to take the second general problem, which have been discussed in the lab classes and for which we have developed both a multithreaded and a multiprocess solution. The aim now was to convert it into a CUDA program to be ran in a GPU under Linux.
Data-parallel Hole Compaction with CUDA
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