Teaching High Productivity and High Performance in an Introductory Parallel Programming Course

Multicore processors are ubiquitous. Several prior research has emphasized the need for high productivity parallel programming models that require minimal changes to the sequential program and can still deliver high performance using runtimes based approaches on various architectures. In this paper,...

Full description

Saved in:
Bibliographic Details
Published in:2021 IEEE 28th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) pp. 21 - 28
Main Author: Kumar, Vivek
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2021
Subjects:
async-finish Programming Model
Computational modeling
Conferences
Education
Parallel programming
Pedagogy
Productivity
Runtime
Task analysis
Task Parallelism
Work-Stealing
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Multicore processors are ubiquitous. Several prior research has emphasized the need for high productivity parallel programming models that require minimal changes to the sequential program and can still deliver high performance using runtimes based approaches on various architectures. In this paper, we present the structure and experience of teaching the Foundations of Parallel Programming course (FPP) at IIIT Delhi using a task-based parallel programming model, Habanero C/C++ Library (HClib). FPP covers a wide breadth of topics in parallel programming but emphasizes both high productivity and high performance. It is being offered at IIIT Delhi in the spring semester for undergraduate and postgraduate students since 2017. We describe our novel approach where the students start the learning process using the traditional parallel programming models, discover the underlying limitations, and build runtime solutions to achieve high performance.
AbstractList Multicore processors are ubiquitous. Several prior research has emphasized the need for high productivity parallel programming models that require minimal changes to the sequential program and can still deliver high performance using runtimes based approaches on various architectures. In this paper, we present the structure and experience of teaching the Foundations of Parallel Programming course (FPP) at IIIT Delhi using a task-based parallel programming model, Habanero C/C++ Library (HClib). FPP covers a wide breadth of topics in parallel programming but emphasizes both high productivity and high performance. It is being offered at IIIT Delhi in the spring semester for undergraduate and postgraduate students since 2017. We describe our novel approach where the students start the learning process using the traditional parallel programming models, discover the underlying limitations, and build runtime solutions to achieve high performance.
Author Kumar, Vivek
Author_xml – sequence: 1
  givenname: Vivek
  surname: Kumar
  fullname: Kumar, Vivek
  organization: IIIT Delhi,India
BookMark eNotjM1Kw0AURkfQhdY-gQh5gcQ7mf-lBLWFglkE3FkmmTvpQDKRaSrk7bW0qw8O3zkP5DZOEQl5plBQCuZlE-rqS3DNeFFCSQsAoHBD1kZpKqXgFJhi9-S7QdsdQuyzTegPWZ0md-rm8BvmJbPRXSkmP6XRxg6zEP95to3z5TmlJattssOAw9nukx3Hc66aTumIj-TO2-GI6-uuSPP-1lSbfPf5sa1ed3kogc25RS1F6YRAKz3XwplWYydUa3hLEYz1HfdCshacUhbBoxTadWAkh1a1bEWeLtmAiPufFEablr2RmjIl2B9cnVM2
CODEN IEEPAD
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/HiPCW54834.2021.00010
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Education
EISBN 9781665410373
166541037X
EndPage 28
ExternalDocumentID 9681375
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i203t-ae8652d55ea6f485d9b8ec57b94b1e09afc4f563b0d77ae0fe658dc09640b7b3
IEDL.DBID RIE
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000778888900003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Thu Jun 29 18:37:44 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-ae8652d55ea6f485d9b8ec57b94b1e09afc4f563b0d77ae0fe658dc09640b7b3
PageCount 8
ParticipantIDs ieee_primary_9681375
PublicationCentury 2000
PublicationDate 2021-Dec.
PublicationDateYYYYMMDD 2021-12-01
PublicationDate_xml – month: 12
  year: 2021
  text: 2021-Dec.
PublicationDecade 2020
PublicationTitle 2021 IEEE 28th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)
PublicationTitleAbbrev HIPCW
PublicationYear 2021
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.7851514
Snippet Multicore processors are ubiquitous. Several prior research has emphasized the need for high productivity parallel programming models that require minimal...
SourceID ieee
SourceType Publisher
StartPage 21
SubjectTerms async-finish Programming Model
Computational modeling
Conferences
Education
Parallel programming
Pedagogy
Productivity
Runtime
Task analysis
Task Parallelism
Work-Stealing
Title Teaching High Productivity and High Performance in an Introductory Parallel Programming Course
URI https://ieeexplore.ieee.org/document/9681375
WOSCitedRecordID wos000778888900003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07a8MwEBZJ6NCpj6T0jYeOdSNb1msODekSPASaqUGPMxhapzhJof--OtskHbp0M2dZAh347qTvu4-QB1ukgoW4ECtteRz-fmlsmIMYaJE5b3V4ZRuxCTmfq-VS5z3yuOfCAEADPoMnfGzu8v3a7fCobKyFSpjkfdKXUrRcrY6Uk1A9npX55JXj4Vgo-9IEOxMiL_aXaEoTM6Yn_1vtlIwO5Lso34eVM9KD6hzFlTsgxpC8LToEZIQgDRyLPVsbEYjIVL6zHggBUVkFe_SCmHQcua6_o9zUKKLyjl8jPusDp0P9ug2MyGL6vJjM4k4mIS5TyraxASV46jkHI4pMca-tAsel1ZlNgGpTuKzgglnqpTTBCRCyDu9C7ZJRKy27IINqXcEliUJxJ4y12kOmMpcyG9K5MFtIIbWiQP0VGeI2rT7bRhirboeu_zbfkGP0Q4v9uCWDbb2DO3Lkvrblpr5vvPcDJDeeyw
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF5qFfTkoxXf5uDR2E2ym-yei6XFWnII2JNlHxMIaFrSVvDfu5OG1oMXb2Gy2YUdyMzsft98hDzoPIwjFxd8ITX33d8v9FVkwAeaM2O1dK90LTaRTCZiOpVpizxuuTAAUIPP4Akf67t8OzdrPCrryVgEUcL3yD5nLKQbtlZDywmo7A2LtP_G8XjMFX5hgL0JkRn7SzaljhqD4_-td0K6O_qdl24DyylpQXmG8soNFKND3rMGA-khTAPHYtfWWgbCU6VtrDtKgFeUzu6NEJWOI-fVt5eqCmVUPvBrRGh94nSoYLeELskGz1l_6DdCCX4R0mjlKxAxDy3noOKcCW6lFmB4oiXTAVCpcsNyHkea2iRRzg3g8g5rXPXCqE50dE7a5byEC-K58i5WWksLTDATRtoldG42l0RKQYHaS9LBbZotNq0wZs0OXf1tvieHw-x1PBuPJi_X5Ah9skGC3JD2qlrDLTkwX6tiWd3VnvwBkqWiEg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2021+IEEE+28th+International+Conference+on+High+Performance+Computing%2C+Data+and+Analytics+Workshop+%28HiPCW%29&rft.atitle=Teaching+High+Productivity+and+High+Performance+in+an+Introductory+Parallel+Programming+Course&rft.au=Kumar%2C+Vivek&rft.date=2021-12-01&rft.pub=IEEE&rft.spage=21&rft.epage=28&rft_id=info:doi/10.1109%2FHiPCW54834.2021.00010&rft.externalDocID=9681375