MIMD Programs Execution Support on SIMD Machines: A Holistic Survey

The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model is used in traditional CPUs, dedicated vector systems, and accelerators such as GPUs, vector extensions, and Xeon Phi. It p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE access Jg. 12; S. 34354 - 34377
Hauptverfasser: Mustafa, Dheya, Alkhasawneh, Ruba, Obeidat, Fadi, Shatnawi, Ahmed S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Accelerators
Application programming interface
asynchronous applications
Asynchronous communication
Central processing units
Computer architecture
CPUs
Data processing
GPUs
Graphics processing units
High performance computing
Instruction sets
irregular applications
MIMD (computers)
Optimization
Optimization techniques
Parallel processing
Platforms
Principles
Programming
Reduced instruction set computing
SIMD
SIMD (computers)
Single instruction multiple data
Surveys
Vectors
ISSN:2169-3536, 2169-3536
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model is used in traditional CPUs, dedicated vector systems, and accelerators such as GPUs, vector extensions, and Xeon Phi. It provides performance throughput in computation-intensive and data-parallel applications. Despite the similarity of data-processing principles between these architectures, porting various programming models between the reviewed platforms is challenging. Furthermore, enhancing the programmability of these architectures is an important feature for utilizing their emerging computing power and simplifying programming complexity. This paper reviews the basic principles of optimization techniques to run asynchronous Multiple Instruction Multiple Data (MIMD) on SIMD accelerators. It also surveys several GPU programming paradigms and application programming interfaces (APIs) and classifies these frameworks into different groups based on their criteria. In addition, a review of studies that performed a comparison of the collaborative execution of GPUs with CPUs and Xeon Phi is presented in this paper. This study will be beneficial for developers and researchers in the field of computer architecture and parallel computing of intensive scientific applications, specifically for early-stage high-performance computing researchers, to obtain a brief overview of performance optimization opportunities as well as the challenges of existing SIMD platforms.
AbstractList The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model is used in traditional CPUs, dedicated vector systems, and accelerators such as GPUs, vector extensions, and Xeon Phi. It provides performance throughput in computation-intensive and data-parallel applications. Despite the similarity of data-processing principles between these architectures, porting various programming models between the reviewed platforms is challenging. Furthermore, enhancing the programmability of these architectures is an important feature for utilizing their emerging computing power and simplifying programming complexity. This paper reviews the basic principles of optimization techniques to run asynchronous Multiple Instruction Multiple Data (MIMD) on SIMD accelerators. It also surveys several GPU programming paradigms and application programming interfaces (APIs) and classifies these frameworks into different groups based on their criteria. In addition, a review of studies that performed a comparison of the collaborative execution of GPUs with CPUs and Xeon Phi is presented in this paper. This study will be beneficial for developers and researchers in the field of computer architecture and parallel computing of intensive scientific applications, specifically for early-stage high-performance computing researchers, to obtain a brief overview of performance optimization opportunities as well as the challenges of existing SIMD platforms.
Author Alkhasawneh, Ruba
Shatnawi, Ahmed S.
Mustafa, Dheya
Obeidat, Fadi
Author_xml – sequence: 1
  givenname: Dheya
  orcidid: 0000-0003-1456-7377
  surname: Mustafa
  fullname: Mustafa, Dheya
  email: dheya@hu.edu.jo
  organization: Department of Computer Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan
– sequence: 2
  givenname: Ruba
  orcidid: 0000-0001-9535-2612
  surname: Alkhasawneh
  fullname: Alkhasawneh, Ruba
  organization: Department of Communication and Computer Engineering, Faculty of Engineering, Al-Ahliyya Amman University, Amman, Jordan
– sequence: 3
  givenname: Fadi
  orcidid: 0000-0002-8731-0989
  surname: Obeidat
  fullname: Obeidat, Fadi
  organization: Synopsys Inc., Austin, TX, USA
– sequence: 4
  givenname: Ahmed S.
  orcidid: 0000-0002-6239-3298
  surname: Shatnawi
  fullname: Shatnawi, Ahmed S.
  organization: Department of Software Engineering, Jordan University of Science and Technology, Irbid, Jordan
BookMark eNpNUF1LwzAUDTLBOfcL9KHgc2c-28S3UacbbChMn0OWprNja2rSivv3pnbILlzu5XDOuZdzDQaVrQwAtwhOEILiYZpls_V6giGmE0JSLAS8AEOMEhETRpLB2X4Fxt7vYCgeIJYOQbZarJ6iN2e3Th18NPsxum1KW0Xrtq6ta6Ju7SgrpT_LyvjHaBrN7b70TakDyX2b4w24LNTem_FpjsDH8-w9m8fL15dFNl3GmjDRxColXJuECo4F0yLdICWIpkUBjSYYakY4gprmUKUs2YTmhjGEKYV5QskmJSOw6H1zq3ayduVBuaO0qpR_gHVbqVx4a2-kwQVHOEdIMEgRJqJzhwFJOFQmYcHrvveqnf1qjW_kzrauCu9LLGjKMUGoY5GepZ313pni_yqCsgtf9uHLLnx5Cj-o7npVaYw5U1DGBYLkFw9kfcA
CODEN IAECCG
Cites_doi 10.1145/1543753.1543756
10.1145/2632215
10.1145/3168827
10.1145/76263.76342
10.1145/29873.29875
10.1109/IPDPSW.2012.292
10.5555/977395.977673
10.1145/951710.951714
10.1145/1735688.1735698
10.1109/CGO51591.2021.9370324
10.1109/HPCA.2018.00040
10.1109/ISCA.2012.6237006
10.1007/978-3-642-28869-2_16
10.1016/j.future.2020.02.069
10.1145/1375527.1375562
10.1109/MM.2005.37
10.1109/ISBI.2008.4541126
10.1145/3173456
10.1109/SHPCC.1992.232682
10.1109/HCS49909.2020.9220591
10.1016/0743-7315(91)90048-E
10.1145/1088149.1088174
10.1145/2212908.2212924
10.1023/A:1007559022013
10.1109/MC.2007.59
10.1109/ICRA40945.2020.9196808
10.1145/2145816.2145832
10.1109/ACCESS.2021.3124856
10.1145/1088149.1088172
10.1145/62678.62714
10.1145/143095.143133
10.1016/0743-7315(90)90088-7
10.1007/BFb0057970
10.1109/ISCA.2018.00060
10.1109/HPCA.2013.6522352
10.1109/FMPC.1990.89460
10.1145/1980462.1980484
10.1145/2491956.2462187
10.1145/3302516.3307357
10.1145/2749469.2750393
10.1016/j.parco.2011.09.001
10.1109/TPDS.2010.106
10.1007/978-3-642-30961-8_13
10.1109/IISWC.2010.5649549
10.1145/1133981.1133997
10.1007/3-540-40889-4_6
10.1109/IPDPS.2009.5161039
10.1109/CGO.2013.6494995
10.1145/2384616.2384625
10.1093/comjnl/30.5.393
10.1109/IPPS.1995.395959
10.1109/HPCA.2013.6522353
10.1016/B978-0-444-81784-6.50042-7
10.7717/peerj-cs.909
10.1007/978-3-540-89740-8_1
10.1145/1837853.1693470
10.1016/S0167-8191(84)90181-9
10.1145/2716282.2716286
10.1109/MCSoC.2015.10
10.1145/2442516.2442523
10.1007/s10766-010-0142-5
10.1145/1995896.1995932
10.1109/IISWC.2012.6402918
10.1145/1122971.1122990
10.1109/InPar.2012.6339601
10.1109/ICPP.2013.87
10.1109/IPDPS.2012.51
10.1109/HPCA.2014.6835936
10.1109/XSW.2013.5
10.1145/3093336.3037702
10.1016/j.jpdc.2018.11.012
10.1109/CGO.2011.5764683
10.1145/2145816.2145844
10.1109/71.395399
10.1007/978-3-642-21487-5_9
10.1109/HPCC-SmartCity-DSS.2017.10
10.1016/j.eng.2020.01.007
10.1145/2751205.2751232
10.1145/3093172.3093237
10.1145/2370036.2145824
10.1109/TVCG.2021.3059753
10.1109/ASAP.2013.6567598
10.1016/B978-0-12-384988-5.00006-1
10.1145/1399504.1360618
10.1109/PACT.1999.807526
10.1109/IPDPS.2013.44
10.1109/SC.2018.00057
10.1145/3368304
10.1109/IPPS.1994.288285
10.1145/2751205.2751247
10.1145/7902.7903
10.1117/12.2500268
10.1504/IJCSE.2013.052110
10.1145/1995896.1995900
10.1145/2544137.2544139
10.1145/2597652.2597682
10.1145/2442516.2442531
10.1109/MICRO.1998.742118
10.1109/PROC.1972.8647
10.1016/0167-8191(88)90094-4
10.1145/3533737.3535089
10.1145/3528425.3529100
10.1201/9781003393122-2
10.1177/1094342019832958
10.1109/IPDPS.2013.82
10.1145/3388333.3388649
10.1007/978-3-642-13374-9_5
10.1007/978-3-030-71593-9_9
10.1145/2464996.2467268
10.1109/TC.1981.1675732
10.1145/1815961.1815992
10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0103
10.1109/SC.2014.82
10.1145/2737924.2737962
10.1145/301618.301670
10.1109/MICRO.1998.742766
10.1002/9781119332015.ch13
10.1145/79173.79181
10.3390/computers11050075
10.1016/S0167-8191(05)80035-3
10.1002/cpe.930
10.1109/HOTCHIPS.2015.7477467
10.1109/MICRO.2012.17
10.1109/CMPCON.1990.63649
10.1145/1048935.1050187
10.1109/LLVM-HPC.2014.10
10.1109/SC.2012.51
10.1109/SC.2010.2
10.1145/195473.195557
10.1109/MM.2018.032271057
10.1145/1513895.1513902
10.5821/dissertation-2117-125844
10.1145/1500518.1500623
10.1023/A:1023090719310
10.1109/MICRO.2007.30
10.1109/MM.2011.89
10.1145/1345206.1345220
10.1145/3079856.3080246
10.1016/0301-0104(91)87066-5
10.1145/2600212.2600228
10.1109/PDP.2015.44
10.1145/2038037.1941574
10.1145/359327.359336
10.1007/978-3-540-89740-8_2
10.1109/HPCA.2007.346199
10.1007/s11227-019-02841-6
10.1002/cpe.8014
10.1145/2644865.2541967
10.1007/978-3-642-19861-8_13
10.1109/MICRO.2016.7783720
10.1109/71.207596
10.1111/j.1467-8659.2007.01012.x
10.1088/1742-6596/1740/1/012056
10.1109/HCS52781.2021.9567066
10.1109/MICRO.2000.898067
10.1109/71.80147
10.1109/CGO.2013.6494989
10.1023/A:1014230429447
10.1109/JPROC.2004.840491
10.1145/2568088.2576799
10.1109/IPPS.1992.222985
10.1109/TPDS.2019.2942918
10.1109/ISPASS.2011.5762730
10.1007/978-3-030-25636-4_10
10.1145/1356058.1356084
10.1109/CMPCON.1990.63648
10.1109/PACT.2005.33
10.1109/PACT.2019.00042
10.1109/TVLSI.2019.2950087
10.1109/SC.2010.36
10.1109/HPCC.2011.73
10.1109/TII.2017.2731362
10.1002/jcc.540040211
10.1109/ICPR.1988.28259
10.1109/SC.2008.5222004
10.1109/HPCA.2011.5749714
10.1145/1735688.1735702
10.1145/3399730
10.1145/996841.996853
10.1007/978-3-642-03869-3_82
10.1145/2458523.2458533
10.1145/2688500.2688517
10.1109/SAAHPC.2011.29
10.1109/TVLSI.2017.2654506
10.1109/ISCA.2004.1310763
10.1007/s11227-017-1993-y
10.1109/IPDPS.2009.5160988
10.1145/566570.566640
10.2514/3.12012
10.1145/2400682.2400713
10.1109/FMPC.1992.234908
10.1109/CGO.2011.5764682
10.14778/2735703.2735704
10.1145/1186562.1015800
10.1016/j.softx.2019.100337
10.1007/bfb0116397
10.1145/2903150.2903155
10.1145/2304576.2304619
10.1109/ICPP.1993.165
10.1080/17445760802337010
10.1109/IPDPSW.2014.11
10.1109/MLHPC.2018.8638639
10.1145/3243176.3243192
10.1145/2145816.2145831
10.1109/MM.2017.35
10.1109/IA351965.2020.00010
10.1145/3458744.3473354
10.1109/ISSCC.2016.7418007
10.4135/9781483375519.n38
10.1109/ACCESS.2022.3147846
10.1145/1594835.1504194
10.1109/TCBB.2011.68
10.1109/IPDPSW55747.2022.00097
10.1145/1950365.1950408
10.1007/978-3-540-77220-0_21
10.1145/3301488
10.1109/99.388949
10.1145/3453483.3454106
10.1145/218864.218868
10.1145/3360307
10.1109/IISWC.2009.5306797
10.1109/2.121476
10.1007/s10766-008-0072-7
10.1109/FMPC.1990.89495
10.1016/0165-6074(87)90034-2
10.1145/63047.63048
10.1109/MICRO.2016.7783714
10.1007/978-3-662-48096-0_35
10.1145/2555243.2555254
10.1145/1375527.1375566
10.1109/HOTCHIPS.2007.7482492
10.1145/234313.234345
10.1109/FPL53798.2021.00082
10.1007/s10766-016-0461-2
10.1007/3-540-45545-0_22
10.1145/964965.808581
10.1007/978-3-540-69303-1_12
10.1007/978-3-319-24595-9_4
10.1007/978-1-4302-0172-4_8
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
DOA
DOI 10.1109/ACCESS.2024.3372990
DatabaseName IEEE Xplore (IEEE)
IEEE Xplore Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE/IET Electronic Library (IEL)
CrossRef
Computer and Information Systems Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
METADEX
Technology Research Database
Materials Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Open Access: DOAJ - Directory of Open Access Journals
DatabaseTitle CrossRef
Materials Research Database
Engineered Materials Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
METADEX
Computer and Information Systems Abstracts Professional
DatabaseTitleList Materials Research Database
Database_xml – sequence: 1
  dbid: DOA
  name: [Open Access] DOAJ 오픈액세스 저널 디렉토리
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2169-3536
EndPage 34377
ExternalDocumentID oai_doaj_org_article_e2f812d1195041239c538012d680ae65
10_1109_ACCESS_2024_3372990
10458910
Genre orig-research
GroupedDBID 0R~
4.4
5VS
6IK
97E
AAJGR
ABAZT
ABVLG
ACGFS
ADBBV
AGSQL
ALMA_UNASSIGNED_HOLDINGS
BCNDV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
EBS
EJD
ESBDL
GROUPED_DOAJ
IPLJI
JAVBF
KQ8
M43
M~E
O9-
OCL
OK1
RIA
RIE
RNS
AAYXX
CITATION
7SC
7SP
7SR
8BQ
8FD
JG9
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c359t-a738ce6498295c97b1a93c4ff0ec320c53810c4d0a756b7568e5512440d643b73
IEDL.DBID DOA
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001178478500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2169-3536
IngestDate Fri Oct 03 12:45:03 EDT 2025
Mon Jun 30 05:18:42 EDT 2025
Sat Nov 29 06:25:32 EST 2025
Wed Aug 27 02:33:25 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License https://creativecommons.org/licenses/by-nc-nd/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c359t-a738ce6498295c97b1a93c4ff0ec320c53810c4d0a756b7568e5512440d643b73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-8731-0989
0000-0002-6239-3298
0000-0001-9535-2612
0000-0003-1456-7377
OpenAccessLink https://doaj.org/article/e2f812d1195041239c538012d680ae65
PQID 2947823115
PQPubID 4845423
PageCount 24
ParticipantIDs crossref_primary_10_1109_ACCESS_2024_3372990
proquest_journals_2947823115
ieee_primary_10458910
doaj_primary_oai_doaj_org_article_e2f812d1195041239c538012d680ae65
PublicationCentury 2000
PublicationDate 20240000
2024-00-00
20240101
2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 20240000
PublicationDecade 2020
PublicationPlace Piscataway
PublicationPlace_xml – name: Piscataway
PublicationTitle IEEE access
PublicationTitleAbbrev Access
PublicationYear 2024
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref57
ref207
ref208
ref59
ref205
ref58
ref53
ref203
Yuan (ref193)
ref204
ref55
ref201
ref54
(ref135) 2019
Jamieson (ref38) 1987
ref209
ref210
(ref150) 2006
ref211
ref51
Sanders (ref138) 1996; 96
ref50
ref218
ref45
ref219
ref48
ref216
ref47
ref217
ref42
ref214
ref41
ref215
ref212
ref213
ref49
Lorie (ref14) 1984
ref8
ref9
ref100
Moy (ref16) 2005
ref101
ref222
ref40
ref220
Ramamurthy (ref164) 2011
ref34
(ref4) 2023
ref37
ref302
ref30
ref33
ref32
ref301
(ref206) 2021
ref39
Teodoro (ref202) 2013
ref24
ref23
ref26
ref25
ref20
ref22
ref21
Diamos (ref226)
ref28
ref27
Yoshida (ref10)
Jin (ref274)
ref200
ref128
ref249
ref129
ref97
ref126
ref247
ref96
ref127
ref248
ref99
ref245
ref98
ref125
ref246
Luo (ref185)
(ref92) 2020
ref254
ref255
ref95
ref131
ref252
(ref62) 2008
ref94
ref132
Lee (ref172) 2011
ref253
ref130
ref251
ref91
Asanovic (ref173) 2006
Fung (ref235)
ref86
ref137
ref258
ref259
ref88
ref256
ref87
ref136
ref257
Chen (ref19)
(ref3) 2000
Dietz (ref139) 1992
Kuszmaul (ref31) 1986
ref82
ref144
ref265
ref81
ref266
ref84
ref263
ref143
ref264
ref140
ref261
ref141
ref262
ref80
ref260
ref79
ref108
ref229
ref78
ref109
ref106
ref227
ref75
ref104
ref225
ref77
ref102
ref223
ref76
ref103
ref224
ref71
ref111
ref232
ref70
ref112
ref233
ref73
ref230
ref72
ref110
ref231
(ref134) 2016
ref68
ref119
ref67
ref238
ref69
ref239
ref115
ref236
ref63
ref116
Amini (ref124)
ref237
ref66
ref113
ref234
ref65
ref114
Zima (ref250) 1990
Yamada (ref64)
ref60
ref122
ref243
ref123
ref244
ref120
ref241
ref61
ref121
ref242
ref240
ref168
ref289
Rossum (ref105) 1994
ref169
Nilsson (ref35)
ref290
ref170
ref291
Mueller (ref107)
Nilsson (ref142) 1990; 13
(ref118) 2009
ref177
ref298
ref178
ref299
ref175
ref296
ref176
ref297
ref294
ref174
ref171
ref292
ref293
(ref90) 2022
ref179
Siegel (ref43) 1987
Collins (ref145) 1991
ref180
ref181
Reinders (ref56) 2017
ref189
ref186
ref187
ref184
ref182
ref183
ref148
ref269
ref149
ref267
ref147
ref268
Narasiman (ref228)
Auguin (ref46) 1986
ref155
ref276
ref156
ref277
ref153
ref154
ref275
ref151
ref272
Hennesy (ref29) 2017
ref152
ref273
ref271
ref159
ref157
ref278
ref158
(ref83) 2018
Lipovski (ref44) 1987
(ref89) 2023
ref280
Min (ref221) 2021
Dietz (ref133) 2012
ref166
ref287
ref167
ref288
Ashbaugh (ref93) 2020
ref285
ref165
ref286
ref162
ref283
ref163
ref284
ref160
ref281
Darema-Rodgers (ref36) 1985
ref161
ref282
ref12
ref15
Littmari (ref146) 1988
ref11
ref17
Tzeng (ref188)
(ref117) 2009
Kim (ref270) 2021
Dongarra (ref300) 2005
Fuller (ref5) 1998; 6
(ref7) 2016
ref2
McCalpin (ref295)
ref1
Munshi (ref85) 2012
ref191
ref192
(ref74) 2023
ref190
Poenaru (ref52) 2022
(ref18) 2010
ref199
ref197
ref198
ref195
ref196
ref194
Shu (ref279) 1990
(ref6) 2016
Shebanow (ref13) 2007
References_xml – start-page: 387
  volume-title: Computer Architecture
  year: 1987
  ident: ref43
  article-title: An overview of the PASM parallel processing system
– ident: ref170
  doi: 10.1145/1543753.1543756
– ident: ref115
  doi: 10.1145/2632215
– ident: ref201
  doi: 10.1145/3168827
– ident: ref39
  doi: 10.1145/76263.76342
– ident: ref154
  doi: 10.1145/29873.29875
– year: 2022
  ident: ref52
  article-title: Modern vector architectures for high-performance computing
– ident: ref209
  doi: 10.1109/IPDPSW.2012.292
– ident: ref114
  doi: 10.5555/977395.977673
– ident: ref252
  doi: 10.1145/951710.951714
– volume-title: Intel® ledR 64 and IA-32 Architectures Software Developer Manuals Volume 2A: Instruction Set Reference
  year: 2016
  ident: ref7
– ident: ref119
  doi: 10.1145/1735688.1735698
– ident: ref208
  doi: 10.1109/CGO51591.2021.9370324
– ident: ref230
  doi: 10.1109/HPCA.2018.00040
– ident: ref229
  doi: 10.1109/ISCA.2012.6237006
– ident: ref247
  doi: 10.1007/978-3-642-28869-2_16
– ident: ref82
  doi: 10.1016/j.future.2020.02.069
– ident: ref81
  doi: 10.1145/1375527.1375562
– ident: ref15
  doi: 10.1109/MM.2005.37
– volume-title: Method and system for programmable pipelined graphics processing with branching instructions
  year: 2005
  ident: ref16
– ident: ref75
  doi: 10.1109/ISBI.2008.4541126
– ident: ref151
  doi: 10.1145/3173456
– ident: ref179
  doi: 10.1109/SHPCC.1992.232682
– ident: ref73
  doi: 10.1109/HCS49909.2020.9220591
– ident: ref41
  doi: 10.1016/0743-7315(91)90048-E
– ident: ref160
  doi: 10.1145/1088149.1088174
– ident: ref298
  doi: 10.1145/2212908.2212924
– ident: ref249
  doi: 10.1023/A:1007559022013
– ident: ref17
  doi: 10.1109/MC.2007.59
– volume-title: Chare kernel and its implementation on multicomputers
  year: 1990
  ident: ref279
– start-page: 296
  volume-title: Proc. 44th Annu. IEEE/ACM Int. Symp. Microarchitecture (MICRO)
  ident: ref235
  article-title: Hardware transactional memory for GPU architectures
– ident: ref271
  doi: 10.1109/ICRA40945.2020.9196808
– ident: ref186
  doi: 10.1145/2145816.2145832
– ident: ref257
  doi: 10.1109/ACCESS.2021.3124856
– ident: ref156
  doi: 10.1145/1088149.1088172
– ident: ref144
  doi: 10.1145/62678.62714
– ident: ref181
  doi: 10.1145/143095.143133
– start-page: 477
  volume-title: Proc. 44th Annu. IEEE/ACM Int. Symp. Microarchitecture (MICRO)
  ident: ref226
  article-title: SIMD re-convergence at thread frontiers
– year: 1992
  ident: ref139
  article-title: A massively parallel MIMD implemented by SIMD hardware
– ident: ref182
  doi: 10.1016/0743-7315(90)90088-7
– ident: ref240
  doi: 10.1007/BFb0057970
– year: 1988
  ident: ref146
  article-title: An exploration of asynchronous data-parallelism
– volume-title: Method for conditional branch execution in SIMD vector processors
  year: 1984
  ident: ref14
– ident: ref217
  doi: 10.1109/ISCA.2018.00060
– ident: ref225
  doi: 10.1109/HPCA.2013.6522352
– ident: ref25
  doi: 10.1109/FMPC.1990.89460
– volume-title: Parallel Computing: Theory and Comparisons
  year: 1987
  ident: ref44
– ident: ref218
  doi: 10.1145/1980462.1980484
– ident: ref194
  doi: 10.1145/2491956.2462187
– ident: ref166
  doi: 10.1145/3302516.3307357
– ident: ref168
  doi: 10.1145/2749469.2750393
– ident: ref106
  doi: 10.1016/j.parco.2011.09.001
– ident: ref123
  doi: 10.1109/TPDS.2010.106
– ident: ref97
  doi: 10.1007/978-3-642-30961-8_13
– ident: ref283
  doi: 10.1109/IISWC.2010.5649549
– start-page: 47
  volume-title: Proc. IEEE/ACM Int. Symp. Code Gener. Optim. (CGO)
  ident: ref19
  article-title: Exploiting recent SIMD architectural advances for irregular applications
– ident: ref192
  doi: 10.1145/1133981.1133997
– volume-title: Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems Using C++ and SYCL
  year: 2020
  ident: ref93
– ident: ref264
  doi: 10.1007/3-540-40889-4_6
– ident: ref190
  doi: 10.1109/IPDPS.2009.5161039
– ident: ref231
  doi: 10.1109/CGO.2013.6494995
– ident: ref243
  doi: 10.1145/2384616.2384625
– ident: ref34
  doi: 10.1093/comjnl/30.5.393
– ident: ref27
  doi: 10.1109/IPPS.1995.395959
– ident: ref234
  doi: 10.1109/HPCA.2013.6522353
– ident: ref137
  doi: 10.1016/B978-0-444-81784-6.50042-7
– ident: ref69
  doi: 10.7717/peerj-cs.909
– ident: ref116
  doi: 10.1007/978-3-540-89740-8_1
– ident: ref63
  doi: 10.1145/1837853.1693470
– ident: ref140
  doi: 10.1016/S0167-8191(84)90181-9
– ident: ref219
  doi: 10.1145/2716282.2716286
– ident: ref88
  doi: 10.1109/MCSoC.2015.10
– ident: ref200
  doi: 10.1145/2442516.2442523
– ident: ref198
  doi: 10.1007/s10766-010-0142-5
– ident: ref120
  doi: 10.1145/1995896.1995932
– volume-title: CuBLAS User Guide
  year: 2016
  ident: ref134
– ident: ref293
  doi: 10.1109/IISWC.2012.6402918
– ident: ref294
  doi: 10.1145/1122971.1122990
– ident: ref50
  doi: 10.1109/InPar.2012.6339601
– ident: ref203
  doi: 10.1109/ICPP.2013.87
– ident: ref280
  doi: 10.1109/IPDPS.2012.51
– ident: ref171
  doi: 10.1109/HPCA.2014.6835936
– ident: ref287
  doi: 10.1109/XSW.2013.5
– start-page: 1
  volume-title: Proc. Int. Symp. High Perform. Chips
  ident: ref64
  article-title: Vector engine processor of NEC’s brand-new supercomputer SX-Aurora TSUBASA
– volume-title: The OpenCL Specification Version 1.2. Khronos OpenCL Working Group
  year: 2012
  ident: ref85
– ident: ref216
  doi: 10.1145/3093336.3037702
– ident: ref21
  doi: 10.1016/j.jpdc.2018.11.012
– ident: ref59
  doi: 10.1109/CGO.2011.5764683
– ident: ref244
  doi: 10.1145/2145816.2145844
– ident: ref33
  doi: 10.1109/71.395399
– ident: ref254
  doi: 10.1007/978-3-642-21487-5_9
– ident: ref86
  doi: 10.1109/HPCC-SmartCity-DSS.2017.10
– volume-title: Proc. 1st STI/Georgia Tech Workshop Softw. Appl. Cell/BE Processor
  ident: ref107
  article-title: CorePy: High-productivity Cell/BE programming
– volume-title: HMPP Workbench, a Directive-Based Compiler for Hybrid Computing
  year: 2009
  ident: ref118
– year: 2021
  ident: ref221
  article-title: PyTorch-Direct: Enabling GPU centric data access for very large graph neural network training with irregular accesses
  publication-title: arXiv:2101.07956
– ident: ref20
  doi: 10.1016/j.eng.2020.01.007
– ident: ref237
  doi: 10.1145/2751205.2751232
– ident: ref286
  doi: 10.1145/3093172.3093237
– ident: ref61
  doi: 10.1145/2370036.2145824
– ident: ref269
  doi: 10.1109/TVCG.2021.3059753
– volume-title: Computer Architecture a Quantitative Approach
  year: 2017
  ident: ref29
– ident: ref102
  doi: 10.1109/ASAP.2013.6567598
– ident: ref183
  doi: 10.1016/B978-0-12-384988-5.00006-1
– ident: ref111
  doi: 10.1145/1399504.1360618
– ident: ref266
  doi: 10.1109/PACT.1999.807526
– ident: ref72
  doi: 10.1109/IPDPS.2013.44
– ident: ref65
  doi: 10.1109/SC.2018.00057
– year: 2006
  ident: ref173
  article-title: The landscape of parallel computing research: A view from Berkeley
– ident: ref212
  doi: 10.1145/3368304
– ident: ref274
  article-title: The OpenMP implementation of NAS parallel benchmarks and its performance
– ident: ref143
  doi: 10.1109/IPPS.1994.288285
– ident: ref253
  doi: 10.1145/2751205.2751247
– ident: ref32
  doi: 10.1145/7902.7903
– ident: ref260
  doi: 10.1117/12.2500268
– ident: ref99
  doi: 10.1504/IJCSE.2013.052110
– ident: ref177
  doi: 10.1145/1995896.1995900
– ident: ref220
  doi: 10.1145/2544137.2544139
– ident: ref256
  doi: 10.1145/2597652.2597682
– volume-title: 3DNOW! Technology Manual
  year: 2000
  ident: ref3
– volume-title: CUDA Toolkit Documentation. NVIDIA Developer Zone
  year: 2019
  ident: ref135
– ident: ref187
  doi: 10.1145/2442516.2442531
– ident: ref128
  doi: 10.1109/MICRO.1998.742118
– ident: ref149
  doi: 10.1109/PROC.1972.8647
– start-page: 19
  volume-title: Proc. IEEE Comput. Soc. Tech. Committee Comput. Archit. (TCCA) Newslett.
  ident: ref295
  article-title: Memory bandwidth and machine balance in current high performance computers
– ident: ref37
  doi: 10.1016/0167-8191(88)90094-4
– ident: ref195
  doi: 10.1145/3533737.3535089
– volume-title: Intel® 64 and IA-32 Architectures Software Developer’s Manual Volume 1: Basic Architecture
  year: 2016
  ident: ref6
– ident: ref255
  doi: 10.1145/3528425.3529100
– year: 1986
  ident: ref31
  article-title: Simulating applicative architectures on the connection machine
– start-page: 143
  volume-title: Parallel Languages and Architectures
  year: 1986
  ident: ref46
  article-title: The OPSILA computer
– ident: ref95
  doi: 10.1201/9781003393122-2
– start-page: 666
  volume-title: The OpenMP Application Programming Interface
  year: 2018
  ident: ref83
– ident: ref87
  doi: 10.1177/1094342019832958
– ident: ref236
  doi: 10.1109/IPDPS.2013.82
– volume-title: ATI Stream Computing SDK User Guide V1.3-Beta
  year: 2008
  ident: ref62
– ident: ref94
  doi: 10.1145/3388333.3388649
– volume-title: Hip Programming Guide
  year: 2022
  ident: ref90
– ident: ref207
  doi: 10.1007/978-3-642-13374-9_5
– ident: ref91
  doi: 10.1007/978-3-030-71593-9_9
– ident: ref176
  doi: 10.1145/2464996.2467268
– volume: 6
  start-page: 998
  year: 1998
  ident: ref5
  article-title: Motorola’s AltiVe technology
  publication-title: White Paper
– ident: ref42
  doi: 10.1109/TC.1981.1675732
– ident: ref224
  doi: 10.1145/1815961.1815992
– volume-title: BrookGPU Home Page
  year: 2023
  ident: ref74
– ident: ref292
  doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0103
– ident: ref281
  doi: 10.1109/SC.2014.82
– ident: ref245
  doi: 10.1145/2737924.2737962
– ident: ref263
  doi: 10.1145/301618.301670
– start-page: 1
  volume-title: Proc. Hot Chips 28th Symp.
  ident: ref10
  article-title: Introduction of Fujitsu’s HPC processor for the post-K computer
– ident: ref251
  doi: 10.1109/MICRO.1998.742766
– volume-title: Supercompilers for Parallel and Vector Computers
  year: 1990
  ident: ref250
– ident: ref104
  doi: 10.1002/9781119332015.ch13
– ident: ref110
  doi: 10.1145/79173.79181
– ident: ref57
  doi: 10.3390/computers11050075
– start-page: 29
  volume-title: Proc. Conf. High Perform. Graph.
  ident: ref188
  article-title: Task management for irregular-parallel workloads on the GPU
– ident: ref155
  doi: 10.1016/S0167-8191(05)80035-3
– ident: ref76
  doi: 10.1002/cpe.930
– volume-title: NVIDIA CUDA (Compute Unified Device Architecture) Programming Guide 3.1
  year: 2010
  ident: ref18
– ident: ref9
  doi: 10.1109/HOTCHIPS.2015.7477467
– ident: ref239
  doi: 10.1109/MICRO.2012.17
– ident: ref24
  doi: 10.1109/CMPCON.1990.63649
– ident: ref129
  doi: 10.1145/1048935.1050187
– ident: ref113
  doi: 10.1109/LLVM-HPC.2014.10
– ident: ref285
  doi: 10.1109/SC.2012.51
– ident: ref199
  doi: 10.1109/SC.2010.2
– ident: ref262
  doi: 10.1145/195473.195557
– ident: ref68
  doi: 10.1109/MM.2018.032271057
– ident: ref109
  doi: 10.1145/1513895.1513902
– volume: 13
  start-page: 58
  issue: 1
  year: 1990
  ident: ref142
  article-title: MIMD execution by SIMD computers
  publication-title: J. Inf. Process.
– ident: ref167
  doi: 10.5821/dissertation-2117-125844
– ident: ref45
  doi: 10.1145/1500518.1500623
– ident: ref158
  doi: 10.1023/A:1023090719310
– ident: ref165
  doi: 10.1109/MICRO.2007.30
– year: 2021
  ident: ref270
  article-title: Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition
  publication-title: arXiv:2106.14995
– ident: ref232
  doi: 10.1109/MM.2011.89
– year: 2005
  ident: ref300
  article-title: Introduction to the HPC challenge benchmark suite
– ident: ref80
  doi: 10.1145/1345206.1345220
– ident: ref67
  doi: 10.1145/3079856.3080246
– ident: ref278
  doi: 10.1016/0301-0104(91)87066-5
– ident: ref103
  doi: 10.1145/2600212.2600228
– ident: ref79
  doi: 10.1109/PDP.2015.44
– ident: ref246
  doi: 10.1145/2038037.1941574
– ident: ref2
  doi: 10.1145/359327.359336
– ident: ref130
  doi: 10.1007/978-3-540-89740-8_2
– ident: ref58
  doi: 10.1109/HPCA.2007.346199
– ident: ref289
  doi: 10.1007/s11227-019-02841-6
– ident: ref126
  doi: 10.1002/cpe.8014
– ident: ref214
  doi: 10.1145/2644865.2541967
– ident: ref175
  doi: 10.1007/978-3-642-19861-8_13
– ident: ref213
  doi: 10.1109/MICRO.2016.7783720
– ident: ref259
  doi: 10.1109/71.207596
– ident: ref22
  doi: 10.1111/j.1467-8659.2007.01012.x
– ident: ref302
  doi: 10.1088/1742-6596/1740/1/012056
– ident: ref71
  doi: 10.1109/HCS52781.2021.9567066
– ident: ref127
  doi: 10.1109/MICRO.2000.898067
– ident: ref40
  doi: 10.1109/71.80147
– ident: ref242
  doi: 10.1109/CGO.2013.6494989
– ident: ref248
  doi: 10.1023/A:1014230429447
– volume-title: Intel AVX-512 Instructions
  year: 2017
  ident: ref56
– ident: ref288
  doi: 10.1109/JPROC.2004.840491
– ident: ref205
  doi: 10.1145/2568088.2576799
– volume-title: The OpenMP API Specification for Parallel Programming
  year: 2021
  ident: ref206
– ident: ref147
  doi: 10.1109/IPPS.1992.222985
– ident: ref272
  doi: 10.1109/TPDS.2019.2942918
– ident: ref301
  doi: 10.1109/ISPASS.2011.5762730
– ident: ref290
  doi: 10.1007/978-3-030-25636-4_10
– ident: ref77
  doi: 10.1145/1356058.1356084
– ident: ref141
  doi: 10.1109/CMPCON.1990.63648
– ident: ref157
  doi: 10.1109/PACT.2005.33
– ident: ref267
  doi: 10.1109/PACT.2019.00042
– ident: ref51
  doi: 10.1109/TVLSI.2019.2950087
– ident: ref96
  doi: 10.1109/SC.2010.36
– year: 2011
  ident: ref172
  article-title: Toward compiler-driven adaptive execution and its application to GPU architectures
– ident: ref112
  doi: 10.1109/HPCC.2011.73
– ident: ref122
  doi: 10.1109/TII.2017.2731362
– ident: ref273
  doi: 10.1002/jcc.540040211
– ident: ref48
  doi: 10.1109/ICPR.1988.28259
– ident: ref174
  doi: 10.1109/SC.2008.5222004
– ident: ref227
  doi: 10.1109/HPCA.2011.5749714
– ident: ref299
  doi: 10.1145/1735688.1735702
– ident: ref222
  doi: 10.1145/3399730
– ident: ref191
  doi: 10.1145/996841.996853
– volume-title: SYCLTM 2020 Specification (Revision 7)
  year: 2020
  ident: ref92
– ident: ref108
  doi: 10.1007/978-3-642-03869-3_82
– ident: ref277
  doi: 10.1145/2458523.2458533
– ident: ref282
  doi: 10.1145/2688500.2688517
– ident: ref297
  doi: 10.1109/SAAHPC.2011.29
– ident: ref55
  doi: 10.1109/TVLSI.2017.2654506
– ident: ref233
  doi: 10.1109/ISCA.2004.1310763
– start-page: 01
  volume-title: Proc. Int. Conf. High Perform. Comput., Netw., Storage Anal.
  ident: ref193
  article-title: Temporal vectorization for stencils
– ident: ref66
  doi: 10.1007/s11227-017-1993-y
– ident: ref78
  doi: 10.1109/IPDPS.2009.5160988
– ident: ref11
  doi: 10.1145/566570.566640
– ident: ref275
  doi: 10.2514/3.12012
– ident: ref121
  doi: 10.1145/2400682.2400713
– ident: ref148
  doi: 10.1109/FMPC.1992.234908
– ident: ref49
  doi: 10.1109/CGO.2011.5764682
– ident: ref204
  doi: 10.14778/2735703.2735704
– ident: ref12
  doi: 10.1145/1186562.1015800
– volume-title: ATI CTM Guide
  year: 2006
  ident: ref150
– ident: ref136
  doi: 10.1016/j.softx.2019.100337
– ident: ref23
  doi: 10.1007/bfb0116397
– ident: ref241
  doi: 10.1145/2903150.2903155
– ident: ref197
  doi: 10.1145/2304576.2304619
– ident: ref258
  doi: 10.1109/ICPP.1993.165
– ident: ref284
  doi: 10.1080/17445760802337010
– ident: ref196
  doi: 10.1109/IPDPSW.2014.11
– ident: ref261
  doi: 10.1109/MLHPC.2018.8638639
– ident: ref60
  doi: 10.1145/3243176.3243192
– ident: ref189
  doi: 10.1145/2145816.2145831
– ident: ref8
  doi: 10.1109/MM.2017.35
– year: 2013
  ident: ref202
  article-title: Comparative performance analysis of Intel Xeon Phi, GPU, and CPU
  publication-title: arXiv:1311.0378
– ident: ref238
  doi: 10.1109/IA351965.2020.00010
– ident: ref132
  doi: 10.1145/3458744.3473354
– ident: ref215
  doi: 10.1109/ISSCC.2016.7418007
– volume-title: HIP
  year: 2023
  ident: ref89
– ident: ref84
  doi: 10.4135/9781483375519.n38
– ident: ref100
  doi: 10.1109/ACCESS.2022.3147846
– ident: ref98
  doi: 10.1145/1594835.1504194
– ident: ref268
  doi: 10.1109/TCBB.2011.68
– volume-title: The Portland Group, PGI Fortran and C Accelarator Programming Model
  year: 2009
  ident: ref117
– ident: ref223
  doi: 10.1109/IPDPSW55747.2022.00097
– year: 2011
  ident: ref164
  article-title: Towards scalar synchronization in SIMT architectures
– volume-title: Execution Of MIMD MIPSEL Assembly Programs Within CUDA/OpenCL GPUs
  year: 2012
  ident: ref133
– ident: ref178
  doi: 10.1145/1950365.1950408
– ident: ref184
  doi: 10.1007/978-3-540-77220-0_21
– ident: ref152
  doi: 10.1145/3301488
– ident: ref276
  doi: 10.1109/99.388949
– ident: ref131
  doi: 10.1145/3453483.3454106
– ident: ref30
  doi: 10.1145/218864.218868
– start-page: 1031
  volume-title: Proc. Int. Conf. 5th Generat. Comput. Syst.
  ident: ref35
  article-title: Massively parallel implementation of flat GHC on the connection machine
– ident: ref70
  doi: 10.1145/3360307
– ident: ref296
  doi: 10.1109/IISWC.2009.5306797
– start-page: 52
  volume-title: Proc. 47th Design Autom. Conf.
  ident: ref185
  article-title: An effective GPU implementation of breadth-first search
– ident: ref26
  doi: 10.1109/2.121476
– volume: 96
  start-page: 320
  year: 1996
  ident: ref138
  article-title: Optimizing the emulation of MIMD behavior on SIMD machines
  publication-title: Math. Res.
– ident: ref161
  doi: 10.1007/s10766-008-0072-7
– volume-title: Neon Programmers’ Guide
  year: 2023
  ident: ref4
– ident: ref180
  doi: 10.1109/FMPC.1990.89495
– ident: ref47
  doi: 10.1016/0165-6074(87)90034-2
– ident: ref28
  doi: 10.1145/63047.63048
– ident: ref163
  doi: 10.1109/MICRO.2016.7783714
– ident: ref101
  doi: 10.1007/978-3-662-48096-0_35
– ident: ref169
  doi: 10.1145/2555243.2555254
– ident: ref159
  doi: 10.1145/1375527.1375566
– ident: ref211
  doi: 10.1109/HOTCHIPS.2007.7482492
– start-page: 1
  volume-title: Proc. 2nd Int. Workshop Polyhedral Compilation Techn., Impact
  ident: ref124
  article-title: Par4All: From convex array regions to heterogeneous computing
– ident: ref1
  doi: 10.1145/234313.234345
– ident: ref54
  doi: 10.1109/FPL53798.2021.00082
– year: 1985
  ident: ref36
  article-title: Environment and system interface for VM/EPEX
– ident: ref291
  doi: 10.1007/s10766-016-0461-2
– start-page: 878
  volume-title: Proc. Supercomputing
  ident: ref210
  article-title: MPI: A message passing interface
– ident: ref265
  doi: 10.1007/3-540-45545-0_22
– year: 1991
  ident: ref145
  article-title: Multiple instruction multiple data emulation on the connection machine
– volume-title: The Python Programming Language
  year: 1994
  ident: ref105
– volume-title: Programming Massively Parallel Processors Lecture 12
  year: 2007
  ident: ref13
– start-page: 308
  volume-title: Proc. 44th Annu. IEEE/ACM Int. Symp. Microarchitecture (MICRO)
  ident: ref228
  article-title: Improving GPU performance via large warps and two-level warp scheduling
– ident: ref153
  doi: 10.1145/964965.808581
– ident: ref162
  doi: 10.1007/978-3-540-69303-1_12
– start-page: 65
  volume-title: The Characteristics of Parallel Algorithms
  year: 1987
  ident: ref38
  article-title: Characterizing parallel algorithms
– ident: ref125
  doi: 10.1007/978-3-319-24595-9_4
– ident: ref53
  doi: 10.1007/978-1-4302-0172-4_8
SSID ssj0000816957
Score 2.344582
Snippet The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level...
SourceID doaj
proquest
crossref
ieee
SourceType Open Website
Aggregation Database
Index Database
Publisher
StartPage 34354
SubjectTerms Accelerators
Application programming interface
asynchronous applications
Asynchronous communication
Central processing units
Computer architecture
CPUs
Data processing
GPUs
Graphics processing units
High performance computing
Instruction sets
irregular applications
MIMD (computers)
Optimization
Optimization techniques
Parallel processing
Platforms
Principles
Programming
Reduced instruction set computing
SIMD
SIMD (computers)
Single instruction multiple data
Surveys
Vectors
SummonAdditionalLinks – databaseName: IEEE/IET Electronic Library (IEL)
  dbid: RIE
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTxsxELYK6gEOtKVBhNJqDxzZsLu21x5uaZooPQRxoBI3y-uHhIQSlAei_54Z7xJFQj30sJK18mrtb2zP-PV9jF2AbjwRheWFVTYXTsS8qYTNuY6iiQDRc5fEJtTNjb6_h9vusnq6CxNCSIfPwoCSaS_fL9yGlsqwhwsSwcMZ-p5SdXtZa7ugQgoSIFXHLFQWcDUcjbASOAesxIDT9hQNvDveJ5H0d6oq74bi5F8mn_6zZJ_ZURdIZsPW8l_YhzA_Zoc79IJf2Wj2e_Yru21PYK2y8UtwqZllJOWJYXdGScoySycqw-o6G2bTxWPibsZMy-fwt8f-TMZ3o2neiSbkjktY51Zx7UItQFcgHaimtMDRBLEIjleFk0Tp5YRH28i6wUcHDJrQyRceg5NG8RO2P1_MwynLoJYeylCDVVp4WVoeMT7wNiqwtYbYZ5dvYJqnlhvDpDlFAabF3hD2psO-z34S4NusRGydXiCSpusnJlQRQw6f1GkFelWgAqMT9bUubKhln_UI_Z3_tcD32fmb_UzXC1emAqFom7OUZ__47Bs7oCK2ayrnbH-93ITv7KN7Xj-slj9SA3sFjh_LLw
  priority: 102
  providerName: IEEE
Title MIMD Programs Execution Support on SIMD Machines: A Holistic Survey
URI https://ieeexplore.ieee.org/document/10458910
https://www.proquest.com/docview/2947823115
https://doaj.org/article/e2f812d1195041239c538012d680ae65
Volume 12
WOSCitedRecordID wos001178478500001&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
journalDatabaseRights – providerCode: PRVAON
  databaseName: [Open Access] DOAJ 오픈액세스 저널 디렉토리
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: DOA
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2169-3536
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000816957
  issn: 2169-3536
  databaseCode: M~E
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELYQYoAB8RTlUWVgJNSJndjHVkqrMrTqABKb5fghIaGC2oJg4bdzdgKKxMDCkCiKrDj-zr47x873EXIOsrKBKCylWuiUG-7TKuc6ZdLzygN4y0wUmxDTqXx4gFlL6ivsCavpgWvgei73GINslCvl6GbB4BBFr2pLSbUrI3spFdCaTEUfLLMSCtHQDGUUev3BAFuEE8KcX7KwVhW8cCsURcb-RmLll1-OwWa0Q7abLDHp12-3S9bcfI9stbgD98lgcju5SWb19qplMnx3JvahJOh0Yk6dhMtQZBK3S7rlVdJPxs9PkZgZCy3e3McBuR8N7wbjtFFESA0rYJVqwaRxJQeZQ2FAVJkGhvh66gzLaYAmo4ZbBL4oKzykw4wIIzi1mHlUgh2S9fnz3B2RBMrCQuZK0EJyW2SaeQz-VnsBupTgO-TiGxz1UhNfqDhhoKBqLFXAUjVYdsh1APCnaGCtjjfQlqqxpfrLlh1yEOBv1ceD6CE-_PTbHqoZYkuVAxdhDTMrjv-j7hOyGdpTf105Jeurxas7IxvmbfW4XHRj78Lz5HPYjf8IfgGRQM3q
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEB5KWmh7aPpI6TZp60OPdWpbkqXJbbtN2NDskkMKuQlZDyiU3bK7Ccm_74zshIXSQw4GYWQsfSNpRq_vA_iMpgtMFFZWTrtSepnKrpGuFCbJLiGmIHwWm9Dzubm8xPPhsnq-CxNjzIfP4iEn815-WPorXiqjHi5ZBI9m6I-VlE3VX9e6X1JhDQlUeuAWqiv8Op5MqBo0C2zkoeANKh56t_xPpukfdFX-GYyzhznZfWDZXsKLIZQsxr3tX8GjuHgNz7cIBt_AZHY6-16c92ew1sXxTfS5oRUs5kmBd8FJzjLLZyrj-qgYF9Pl78zeTJlW1_F2D36eHF9MpuUgm1B6oXBTOi2Mj61E06DyqLvaoSAjpCp60VReMamXl4Gso9qOHhMpbCI3XwUKTzot3sLOYrmI76DAVgWsY4tOGxlU7USiCCG4pNG1BtMIvtyBaf_07Bg2zyoqtD32lrG3A_Yj-MaA32dlauv8gpC0Q0-xsUkUdISsTyvJryIXmNxoaE3lYqtGsMfob_2vB34EB3f2s0M_XNsGpeaNzlq9_89nn-Dp9GJ2Zs9O5z_24RkXt19hOYCdzeoqfoAn_nrza736mBvbX023znY
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%3Ajournal&rft.genre=article&rft.atitle=MIMD+Programs+Execution+Support+on+SIMD+Machines%3A+A+Holistic+Survey&rft.jtitle=IEEE+access&rft.au=Mustafa%2C+Dheya&rft.au=Alkhasawneh%2C+Ruba&rft.au=Obeidat%2C+Fadi&rft.au=Shatnawi%2C+Ahmed+S.&rft.date=2024&rft.issn=2169-3536&rft.eissn=2169-3536&rft.volume=12&rft.spage=34354&rft.epage=34377&rft_id=info:doi/10.1109%2FACCESS.2024.3372990&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_ACCESS_2024_3372990
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon