000810971 001__ 810971 000810971 005__ 20210129223644.0 000810971 0247_ $$2doi$$a10.1016/0167-8191(88)90061-0 000810971 0247_ $$2ISSN$$a0167-8191 000810971 0247_ $$2ISSN$$a1872-7336 000810971 0247_ $$2WOS$$aWOS:A1988Q667100016 000810971 037__ $$aFZJ-2016-03526 000810971 082__ $$a004 000810971 1001_ $$0P:(DE-Juel1)132120$$aGutheil, Inge$$b0$$eCorresponding author$$ufzj 000810971 245__ $$aSUPRENUM software for the symmetric eigenvalue problem 000810971 260__ $$aAmsterdam [u.a.]$$bNorth-Holland, Elsevier Science$$c1988 000810971 3367_ $$2DRIVER$$aarticle 000810971 3367_ $$2DataCite$$aOutput Types/Journal article 000810971 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1467295452_21169 000810971 3367_ $$2BibTeX$$aARTICLE 000810971 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000810971 3367_ $$00$$2EndNote$$aJournal Article 000810971 520__ $$aThe efficient use of the SUPRENUM computer calls for a careful choice of adequate algorithms and an implementation taking into account the special characteristics of a parallel computer with distributed memory. To demonstrate these facts, well-known algorithms solving the symmetric eigenvalue problem are presented, parallelized in particular for the SUPRENUM machine.The main problems arise in the amount of communication calls, and ways are shown to reduce this amount by using block algorithms rather than the usual ones. 000810971 536__ $$0G:(DE-HGF)POF3-899$$a899 - ohne Topic (POF3-899)$$cPOF3-899$$fPOF III$$x0 000810971 588__ $$aDataset connected to CrossRef 000810971 773__ $$0PERI:(DE-600)1466340-5$$a10.1016/0167-8191(88)90061-0$$gVol. 7, no. 3, p. 419 - 424$$n3$$p419 - 424$$tParallel computing$$v7$$x0167-8191$$y1988 000810971 909CO $$ooai:juser.fz-juelich.de:810971$$pVDB 000810971 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132120$$aForschungszentrum Jülich$$b0$$kFZJ 000810971 9131_ $$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$$x0 000810971 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPARALLEL COMPUT : 2014 000810971 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000810971 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000810971 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List 000810971 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000810971 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000810971 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology 000810971 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5 000810971 9201_ $$0I:(DE-Juel1)VDB62$$kZAM$$lZentralinstitut für Angewandte Mathematik$$x0 000810971 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x1 000810971 980__ $$ajournal 000810971 980__ $$aVDB 000810971 980__ $$aI:(DE-Juel1)VDB62 000810971 980__ $$aI:(DE-Juel1)JSC-20090406 000810971 980__ $$aUNRESTRICTED 000810971 981__ $$aI:(DE-Juel1)JSC-20090406