https://github.com/betarixm/csed490c

POSTECH: Heterogeneous Parallel Computing (Fall 2023)
https://github.com/betarixm/csed490c

cuda gpu parallel-computing postech

Last synced: 3 months ago
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POSTECH: Heterogeneous Parallel Computing (Fall 2023)

• Host: GitHub
• URL: https://github.com/betarixm/csed490c
• Owner: betarixm
• Created: 2023-09-29T07:01:53.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-02T07:48:19.000Z (over 1 year ago)
• Last Synced: 2025-01-19T09:44:26.682Z (4 months ago)
• Topics: cuda, gpu, parallel-computing, postech
• Language: C++
• Homepage:
• Size: 1.27 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Heterogeneous Parallel Computing

[![CSED490C@POSTECH](https://img.shields.io/badge/CSED490C-POSTECH-c80150)](https://www.postech.ac.kr/eng)

[![CSED490C@POSTECH](https://img.shields.io/badge/Fall-2023-775E64)](https://www.postech.ac.kr/eng)

Heterogeneous parallel systems with a host CPU and various devices provide high performance and energy efficiency and are widely adopted from supercomputers to edge devices. In this course, you will learn common architectures and parallel algorithm patterns for heterogeneous systems, high-level programming interfaces for HPC and AI applications (OpenCL/OpenMP, TensorFlow), and performance optimization techniques, etc. and work on programming projects.