高效能計算
High Performance Computing
| 節 | 週三 |
|---|---|
5 13:20–14:10 | 高效能計算 YL401 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
The course aims to give an introductory overview of High Performance Computing (HPC) in general, and HPC programming models in particular. The goal of this course is to give you the foundations for developing, analyzing, and implementing parallel algorithms. We will introduce parallel algorithms theory with hands-on exercises on modern HPC systems, such as OpenMP for multi-cores and CUDA for graphics co-processors (GPUs), and MPI and Hadoop models for distributed memory systems.
The purpose of this course is to provide the foundations of HPC. Students are able to understand the concept of HPC, and they can learn how to implement parallel algorithms with different programming models on a variety of hardware architectures.
Midterm Report: 30% Final Project: 40% Attendance: 10% Homework: 20%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to High Performance Computing |
| 第 2 週 | High Performance Computing Architecture |
| 第 3 週 | High Performance Computing ProgrammingHight Performance Computing Programming |
| 第 4 週 | The Concept of Parallel Computing |
| 第 5 週 | Parallel Computing Algorithms (1) |
| 第 6 週 | Parallel Computing Algorithms (2) |
| 第 7 週 | Parallel Computing Programming: OpenMP (1) |
| 第 8 週 | Midterm Report |
| 第 9 週 | Parallel Computing Programming: CUDA (1) |
| 第 10 週 | Parallel Computing Programming: CUDA (2) |
| 第 11 週 | Parallel Computing Programming: CUDA (3) |
| 第 12 週 | Parallel Computing Programming: CUDA (4) |
| 第 13 週 | Final Project: Progress |
| 第 14 週 | The Concept of Distributed Computing |
| 第 15 週 | Final Project Presentation |
| 第 16 週 | Final Project Tuning |
| 第 17 週 | Final Project Tuning |
| 第 18 週 | Final Project Tuning |
Reference: David L. Chopp, Introduction to High Performance Scientific Computing, ISBN-10: 1611975638