https://github.com/denyskryvytskyi/capgemini-cuda

CUDA implementation of vector additon, matrix multiplication, reduction and sorting
https://github.com/denyskryvytskyi/capgemini-cuda

bitonic-sort cpp cuda cuda-kernels gpgpu matrix matrix-multiplication matrix-multiplication-parallel matrix-transpose nvidia nvidia-cuda nvidia-gpu reduction-dimension sort sorting-algorithms-implemented vector vector-addition vectorization

Last synced: 6 days ago
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CUDA implementation of vector additon, matrix multiplication, reduction and sorting

• Host: GitHub
• URL: https://github.com/denyskryvytskyi/capgemini-cuda
• Owner: denyskryvytskyi
• Created: 2024-10-01T14:42:01.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-10-28T14:04:28.000Z (8 days ago)
• Last Synced: 2024-10-28T15:07:03.400Z (8 days ago)
• Topics: bitonic-sort, cpp, cuda, cuda-kernels, gpgpu, matrix, matrix-multiplication, matrix-multiplication-parallel, matrix-transpose, nvidia, nvidia-cuda, nvidia-gpu, reduction-dimension, sort, sorting-algorithms-implemented, vector, vector-addition, vectorization
• Language: Cuda
• Homepage:
• Size: 38.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Capgemini CUDA tasks

Tasks were implemented and tested in Windows 10 with the Visual Studio CUDA Integration tool and NVCC compiler.

Tasks list:

- vectors addition;

- matrix multiplication using tiles, GPU shared memory, and matrix transposition;

- reduction (sum) with a custom kernel and Nvidia Thrust library for performance comparison;

- sorting using the Nvidia Thrust library.

## Getting Started

- Install [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit).

- [Windows] Install Visual Studio 2022 (we need MSVC compiler to compile host code and link with device code for the final executable).

- [Linux] Install gcc compiler.

Compile code using **nvcc** compiler:

`nvcc .cu -o  -O3`

Run:

`./`