GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
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Updated
Nov 3, 2018 - Cuda
GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
Algorithms implemented in CUDA + resources about GPGPU
Playing with CUDA and GPUs in Google Colab
Parallel reduction of boundary matrices for Persistent Homology with CUDA
This is a program to solve the job shop scheduling problem by using the parallel genetic algorithm
This is a two-dimensional fluid solver written in a hybrid CPU-GPU architecture platform This code has been written as part of the requiremnts for the following courses at the University of Utah: Computational Fluid Dynamics Parallel computing on many-cores @ Authors: Arash Nemati Hayati Akshay Singhvi Lucas Ulmer
WAH compression using CUDA
In this code is provided a simple, efficient and fast method to calculate motion and backgroud dynamically using nVidia GPUs power
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 M…
Parallel implementation of Nearest Neighbour Search algorithm
Parallel SpMV using CSR representation, built in CUDA
An efficient CUDA implementation of Adaptive Non Local Means algorithm for image denoising.
A GPU implementation of the sampling algorithm ACHR.
C++ implementation of a neural network using OpenMP and CUDA for parallelization.
A novel GPU accelerated MCMC algorithm for graph coloring
Implementation of 2048 game with CUDA
Bitonic sort algorithm multigpu and gpu in CUDA
Illustrating CUDA C for general-purpose computing on GPUs
Nvidia CUDA Programs. High-performance computing with my collection of CUDA programs, meticulously crafted to harness the immense power of NVIDIA's GPU architecture. From blazingly fast simulations to data-intensive parallel processing, these programs showcase my passion for pushing the boundaries of performance optimization.
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