000811186 001__ 811186
000811186 005__ 20210129223756.0
000811186 0247_ $$2doi$$a10.1016/0167-8191(88)90056-7
000811186 0247_ $$2ISSN$$a0167-8191
000811186 0247_ $$2ISSN$$a1872-7336
000811186 0247_ $$2WOS$$aWOS:A1988Q667100011
000811186 037__ $$aFZJ-2016-03695
000811186 082__ $$a004
000811186 1001_ $$0P:(DE-Juel1)132144$$aHossfeld, Friedel$$b0$$eCorresponding author$$ufzj
000811186 245__ $$aVector-supercomputers
000811186 260__ $$aAmsterdam [u.a.]$$bNorth-Holland, Elsevier Science$$c1988
000811186 3367_ $$2DRIVER$$aarticle
000811186 3367_ $$2DataCite$$aOutput Types/Journal article
000811186 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1467794038_23879
000811186 3367_ $$2BibTeX$$aARTICLE
000811186 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000811186 3367_ $$00$$2EndNote$$aJournal Article
000811186 520__ $$aToday, the field of high-speed computers and supercomputing applications is dominated by the vector-processor architecture. This paper gives a survey on the architectural principles of vector computers like segmentation, pipelining, and chaining as well as on the spectrum of real systems available in the market. It illuminates the potentiality and the limitations of vectorization strategies. Recent developments towards multi-vectorcomputer systems give impact to new supercomputing concepts balancing vectorization versus parallel computation by exploiting multitasking principles. Covering a wide spectrum of applications vector-supercomputers are making relevant contributions to the progress in scientific research and technology.
000811186 536__ $$0G:(DE-HGF)POF3-899$$a899 - ohne Topic (POF3-899)$$cPOF3-899$$fPOF III$$x0
000811186 588__ $$aDataset connected to CrossRef
000811186 773__ $$0PERI:(DE-600)1466340-5$$a10.1016/0167-8191(88)90056-7$$gVol. 7, no. 3, p. 373 - 385$$n3$$p373 - 385$$tParallel computing$$v7$$x0167-8191$$y1988
000811186 909CO $$ooai:juser.fz-juelich.de:811186$$pVDB
000811186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132144$$aForschungszentrum Jülich$$b0$$kFZJ
000811186 9131_ $$0G:(DE-HGF)POF3-899$$1G:(DE-HGF)POF3-890$$2G:(DE-HGF)POF3-800$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bProgrammungebundene Forschung$$lohne Programm$$vohne Topic$$x0
000811186 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPARALLEL COMPUT : 2014
000811186 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000811186 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000811186 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000811186 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000811186 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000811186 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology
000811186 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000811186 9201_ $$0I:(DE-Juel1)VDB62$$kZAM$$lZentralinstitut für Angewandte Mathematik$$x0
000811186 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x1
000811186 980__ $$ajournal
000811186 980__ $$aVDB
000811186 980__ $$aI:(DE-Juel1)VDB62
000811186 980__ $$aI:(DE-Juel1)JSC-20090406
000811186 980__ $$aUNRESTRICTED
000811186 981__ $$aI:(DE-Juel1)JSC-20090406