hetero lecture slides 002 lecture 1 lecture 1 1 overview

8/13/2019 Hetero Lecture Slides 002 Lecture 1 Lecture 1 1 Overview

1/14

Course Overview

Lecture 1 1


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Cour

Learn how to program heterogparallel computing systems a

high performance and ener

efficiency functionality and maintai

scalability across futuregenerations

Portability across vendor

Technical subjects

Parallel programming API, techniques

principles and patterns oalgorithms

processor architecture feconstraints


3/14

Instructor:

Wen-mei Hwu w-hwu@illinuse [Coursera HPP] to e-mail subject line

Teaching Assistants:Abdul Dakkak, Izzat El HaJablin, Andy Schuh, and c

ContributorsDavid Kirk, John StrattoGelado, John Stone, JavMichael Garland, TAs, an


4/14

Web Res

Website: Handouts, quizzes, labs,

slides/recordings Weekly view vs. classic v

Sample textbook chapters,documentation, software r

Electronic announcements

Forum discussions Forum for Q&A - the commuread and answer the postiyour classmates often hav


5/14

Quizzes: 50%

Weekly, repeatab

Labs (Machine Probl

Weekly, with optlater assignment


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Academic Hone

You are allowed and enco

discuss assignments with

students in the class.

Getting verbal advice/hepeople who have already course is also fine.

Any sharing of code is

unacceptable

Includes posting your owthe Forum, reading someocode and then going off your own.

Giving/receiving help on

is unacceptable


7/14

Recommended Textbo

1. D. Kirk and W. Hwu, P

Massively Parallel Pro

Hands-on Approach, 2nMorgan Kaufman Publish

ISBN 0123814723

2. Lab assignments will h

accompanying instructi

notes3. NVIDIA, NVidia CUDA C

Guide, version 5.0, NV

(reference book)


8/14


9/14

ECE498AL ECE408/CS483 - Co

2/07 3/07

NVIDIA released

CUDA, UIUC lecture

and lab materialwent on-line

NAMD and other

apps group post

ECE498AL classprojects

VSC

China

relscho

6/08


10/14

ECE498AL ECE408/CS483 - Co

8/11 11/12

ECE498AL became

an official UIUC

courseECE408/CS483

First Coursera

HPP Offering

(25,000 students,10,000 finished)

S

Cour

COf

1/14


11/14

Tentative

Week One:

Introduction to HeterogenComputing, Overview of CUKernel-Based Parallel Pro

Lab tour and programming of vector addition in CUD

Week Two:

Memory Model for Localityfor Conserving Memory BanHandling Boundary ConditiPerformance Consideration

Programming assignment ofmatrix-matrix multiplicatC

Week Three:

Parallel Convolution Patt

Programming assignment ofmatrix-matrix multiplicatC


12/14

Tentative

Week Four:

Parallel Scan Pattern

Programming assignment o

convolution in CUDA C.

Week Five:

Parallel Histogram Patte

Atomic Operations


scan in CUDA C. Week Six:

Data Transfer and Task P


histogram in CUDA C.


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Tentative

Week Seven:

Introduction to OpenCL, IntroC++AMP, Introduction to OpenA

Programming assignment of vecusing streams in CUDA C.

Week Eight:

Course Summary, Other Related

Models Thrust, Bolt, and CUD

Programming assignment of sim

matrix multiplication in choi

OpenCL, C++AMP, or OpenACC. Week Nine:

Complete any remaining lab as

with optional, bonus programmassignments in choice of Open

or OpenACC.


14/14Welcome Ab

Recorded with Perso

hetero lecture slides 002 lecture 1 lecture 1 1 overview

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