Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biology
Miller P, Nadkarni P, Gelernter J, Carriero N, Pakstis A, Kidd K. Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biology. Journal Of Biomedical Informatics 1991, 24: 234-248. PMID: 1868693, DOI: 10.1016/0010-4809(91)90046-y.Peer-Reviewed Original ResearchConceptsParallel computersSequential programsMachine-independent parallel programming languageParallel programming languageDifferent parallel machinesLengthy computation timeParallel programsProgramming languageAvailable processorsDifferent processorsParallel computationParallel machinesSequential versionParallel versionComputational loadComputation timePerformance benchmarksComputerProcessorsCase studyDifferent piecesIterative programsLINKMAPComputationParallel formsA parallel computing approach to genetic sequence comparison: The master-worker paradigm with interworker communication
Sittig D, Foulser D, Carriero N, McCorkle G, Miller P. A parallel computing approach to genetic sequence comparison: The master-worker paradigm with interworker communication. Journal Of Biomedical Informatics 1991, 24: 152-169. PMID: 2036781, DOI: 10.1016/0010-4809(91)90027-t.Peer-Reviewed Original ResearchConceptsTuple spaceGenetic sequence comparisonC-LindaMachine-independent parallel programming languageComparison algorithmsSimilarity scoresParallel programming languageMaster-worker paradigmTest sequencesParallel computing approachTotal search timeSequence comparison algorithmComputing approachParallel programsProgramming languageParallel computersWorker processesParallel implementationSequent SymmetryMaster processSequential versionIntel HypercubeParallel versionString comparisonSearch time