平行程式設計

Parallel Programming

學期

106-1

學分

3 學分

當期課號

5094

永久課號

GEE9018

開課單位

電機工程學系

授課教師

溫宏斌

校區

光復

類別

選修

上課時間表

節	週三
7 15:30–16:20	平行程式設計 ED713 3 節連堂
8 16:30–17:20
9 17:30–18:20

* 根據陽明交大上課時間表所列

概述

This course aims at the training of programming with multiple processing units for high-performance applications. Two different kinds of parallel architectures including shared-memory (multi-core) and distributed-memory (multi-machine) systems are covered. For multi-core programming, we will introduce Pthread, Open Multi-Processing (OpenMP) and Compute Unified Device Architecture (CUDA) for parallel programming. For multi-machine programming, we mainly focus Message Passing Interface (MPI) and Map/Reduce if time permits. Various parallel architectures, programming models, programming techniques, and applications are also covered in lectures. Meanwhile, extensive in-class machine laboratories are required in this course.

先修科目

本課程考量設備容量之限制故有設立修課資格優先權與名額上限 === 20170913(三) 第一堂上課請務必出席下午3:40我們將會依照優先權順序開始登記修課資格 (亦即在線上處理本課程之加退選事宜) 並且當天會有課堂程式鑑定考試通過者才具備資格選修請欲選課同學務必準時出席,不便之處尚請見諒~

評分方式

4 Programming Assignments:20% Midterm Exam:25% Finally Exam:25% Term Project:30%

課程大綱

Introduction to Parallel Computing (Architectures and Algorithms)
Shared Memory Programming (Pthread and OpenMP)
Distributed Shared Memory Programming with MPI
Parallel Program Development
Massively parallel (CUDA) programming

週次計畫

週次	主題
第 1 週	Syllabus and Screening Programming Test
第 2 週	Introduction to Parallel Programming and their Architecture
第 3 週	Pthread Programming (Part 1)
第 4 週	中秋節國定假日
第 5 週	Pthread Programming (Part 2)
第 6 週	OpenMP Programming (Part 1)
第 7 週	OpenMP Programming (Part 2)
第 8 週	Midterm Review - nBody
第 9 週	Midterm Exam (machine test)
第 10 週	MPI Programming (Part 1)
第 11 週	MPI Programming (Part 2)
第 12 週	Parallel Program Development (Part 1)
第 13 週	Parallel Program Development (Part 2)
第 14 週	CUDA/GPU Programming (Part 1)
第 15 週	CUDA/GPU Programming (Part 2)
第 16 週	CUDA/GPU Programming (Part 3)
第 17 週	CUDA/GPU Programming (Part 4)
第 18 週	Project Presentation

教科書

1.(Reference) Parallel Programming for Multicore and Cluster Systems, Thomas Rauber and Gudula Runger, 1st Edition, Springer-Verlag, 2010 2.(Reference) Parallel Programming in C with MPI and OpenMP, Michael J. Quinn, McGraw-Hill, 2003. 3.(Reference) An Introduction to Parallel Programming, Peter Pacheco, Morgan Kaufmann Publishers Inc., 2012. 4.Other supplementary materials from Intel, NVIDIA and etc.

Office Hours

地點: ED700
時間: Office Hours: Wednesdays 13:30-15:20
聯絡方式: email: opwen@g2.nctu.edu.tw / phone: ext 31273