GitHub / Vivek-Tate / Performance-Analysis-of-Parallel-Computing-Algorithms-using-CUDA-and-OpenMP
This is an academic experiment comparing CPU and GPU performance using CUDA and OpenMP. It involves implementing three algorithms: Standard Deviation Calculation, Image Convolution, and Histogram-Based Data Structure, optimised for parallel execution to demonstrate performance improvements on different hardware architectures.
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License: lgpl-2.1
Language: Cuda
Size: 1.44 MB
Dependencies parsed at: Pending
Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago
Topics: cpu-monitoring, cuda, data-structures, experiments, gpu-monitoring, gpu-parallelization, image-convolution, openmp, parallel-computing, performance-analysis, standard-deviation