MARC Record from marc_columbia

LEADER: 03199fam a2200409 a 4500
001 1850919
005 20220609011008.0
008 951128t19951995enka b 001 0 eng d
010 $a 95228378
020 $a1850321256
035 $a(OCoLC)33813562
035 $a(OCoLC)ocm33813562
035 $9ALT5984CU
035 $a(NNC)1850919
035 $a1850919
040 $aICU$cICU$dDLC$dOrLoB-B
041 1 $aeng$hfre
042 $alccopycat
050 00 $aQA76.58$b.C7513 1995
082 00 $a004/.35$220
100 1 $aCosnard, M.$q(Michel)$0http://id.loc.gov/authorities/names/n84090279
240 10 $aAlgorithmes et architectures parallèles.$lEnglish$0http://id.loc.gov/authorities/names/n95116095
245 10 $aParallel algorithms and architectures /$cMichel Cosnard, Denis Trystram.
260 $aLondon ;$aNew York :$bInternational Thomson Computer Press,$c[1995], ©1995.
300 $axiv, 550 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 521-545) and index.
505 00 $g1.$tIntroduction --$g2.$tClassification of parallel architectures --$g3.$tBasic components of parallel machines --$g4.$tTopologies of static networks --$g5.$tComplexity of parallel algorithms --$g6.$tPipelining - architecture and implementation --$g7.$tVectorization --$g8.$tVectorization of linear algebra algorithms --$g9.$tParallelizing algorithms --$g10.$tTask scheduling --$g11.$tParallelization of dense linear systems --$g12.$tParallelization of the Givens method --$g13.$tImpact of memory access on execution times --$g14.$tTask mapping --$g15.$tCommunications in processor networks --$g16.$tBasic procedures on processor networks --$g17.$tSolving linear systems in parallel --$g18.$tConclusion.
520 $aDevelopments in parallel computing in recent years have made it possible to build multi-processor architectures that enable efficiency and speed in today's computing environment. Parallel Algorithms and Architectures provides a thorough introduction to this technology, explaining the fundamentals of parallelism in a logical and readable way.
520 8 $aProgressing from theory to implementation, the text develops the algorithms of vector processors, shared-memory parallel machines and distributed-memory machines emphasising the link between architectures, models and algorithms. In addition, the book addresses a number of issues that are of great practical importance to people developing parallel programs, including coverage of LINPACK and BLAS, vectorisation, task placement and scheduling.
520 8 $aParallel Algorithms and Architectures is ideal for both computer science students and people in industry who require an understanding of parallelism.
650 0 $aParallel processing (Electronic computers)$0http://id.loc.gov/authorities/subjects/sh85097826
650 0 $aComputer algorithms.$0http://id.loc.gov/authorities/subjects/sh91000149
650 0 $aComputer architecture.$0http://id.loc.gov/authorities/subjects/sh85029479
700 1 $aTrystram, Denis.$0http://id.loc.gov/authorities/names/n95116099
852 00 $boff,eng$hQA76.58$i.C7513 1995