CUDA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
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Exercises from the parallel programming class
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Jun 23, 2023 - C
Parallelizing matrix multiplication
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Dec 26, 2022 - C
Borde is a GPU-accelerated edge detection app written in C++ and CUDA. It is designed to be fast, easy to use, and easy to integrate into existing projects. Borde is licensed under the MIT license.
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Jul 13, 2023 - C
Simple neural network library with backpropagation using CUDA
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May 10, 2016 - C
Modified GPU (OpenCL and CUDA) benchmarks. Mirror of https://github.com/yuhc/gpu-rodinia
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Dec 12, 2017 - C
Benchmarks for Multi-GPU Communication with MVAPICH2
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Jan 4, 2017 - C
A primer on CUDA & c++ when one is familiar with Python's scientific ecosystem (pandas, numpy & scipy)
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Mar 30, 2024 - C
A small project to evaluate performance between Futhark, Cuda and OpenCL
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May 8, 2020 - C
Objective: To find the bottlenecks in the unoptimized single-threaded program for Checkered Matrix Multiplication using PMCs through perf and implemented the optimized single-threaded, multi-threaded and GPU program using CUDA for the same.
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Jan 16, 2022 - C
CUDA C parallel implementations of some well-known algorithms.
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Jul 17, 2022 - C
Assignments done for a Parallel Programming course at @ufms.
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Oct 12, 2023 - C
An exercise in writing an efficient correlation calculator
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Sep 22, 2017 - C
Created by Nvidia
Released June 23, 2007
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