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010   $a3-540-48325-X
024 7 $a10.1007/3-540-57738-6
035   $a(CKB)1000000000234079
035   $a(SSID)ssj0000327585
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035   $a(PQKBTitleCode)TC0000327585
035   $a(PQKBWorkID)10301778
035   $a(PQKB)10315792
035   $a(DE-He213)978-3-540-48325-0
035   $a(PPN)155176765
035   $a(EXLCZ)991000000000234079
100   $a20121227d1994      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aVisualization of Scientific Parallel Programs$b[electronic resource] /$fby Gerald Tomas, Christoph W. Ueberhuber
205   $a1st ed. 1994.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1994.
215   $a1 online resource (XIV, 314 p.) 
225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v771
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-57738-6 
327   $aVisualization tools -- Design goals and techniques -- Available software -- Paragraph -- Parallel IDeC methods -- Performance modelling and evaluation of parallel IDeC methods -- Representative target machines -- Trace file -- IDeC-specific displays -- Shared memory IDeC methods -- Distributed memory IDeC methods -- Parallel integration -- Simulated target machines -- Trace file -- Integration-specific displays -- Visualization of parallel integration algorithms.
330   $aThe substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.
410  0$aLecture Notes in Computer Science,$x0302-9743 ;$v771
606   $aArchitecture, Computer
606   $aApplication software
606   $aComputers
606   $aComputer programming
606   $aSoftware engineering
606   $aNumerical analysis
606   $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057
606   $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
606   $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010
606   $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029
606   $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050
615  0$aArchitecture, Computer.
615  0$aApplication software.
615  0$aComputers.
615  0$aComputer programming.
615  0$aSoftware engineering.
615  0$aNumerical analysis.
615 14$aComputer System Implementation.
615 24$aComputer Applications.
615 24$aTheory of Computation.
615 24$aProgramming Techniques.
615 24$aSoftware Engineering.
615 24$aNumerical Analysis.
676   $a005.2
700   $aTomas$b Gerald$4aut$4http://id.loc.gov/vocabulary/relators/aut$0714610
702   $aUeberhuber$b Christoph W$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a996466015403316
996   $aVisualization of scientific parallel programs$91489205
997   $aUNISA