1992
Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis
Miller P, Nadkarni P, Bercovitz P. Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis. Bioinformatics 1992, 8: 141-147. PMID: 1591609, DOI: 10.1093/bioinformatics/8.2.141.Peer-Reviewed Original ResearchConceptsParallel computersMachine-independent parallel programming languageParallel programming languagePowerful parallel computersParallel programsProgramming languageNetworked workstationsComputational resourcesParallel machinesGeneral paradigmBiological computationWorkstationsComputerLindaNetworkInstitutions networkMathematical techniquesParadigmHardwareMachineComputationLanguageCapabilityResources
1991
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 timeParallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube.
Nadkarni P, Miller P. Parallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube. AMIA Annual Symposium Proceedings 1991, 404-8. PMID: 1807632, PMCID: PMC2247563.Peer-Reviewed Original ResearchConceptsMachine-independent parallel programming languageIntel HypercubeVirtual parallel machineParallel programming languageBiological sequence comparisonNumber of processorsParallel programmingParallel programsProgramming languageParallel computationDesktop workstationsParallel machinesProgramming commandsApplication areasPortable modelProcessorsLindaBenchmark testsNative modelsHypercubeParallelizationCase studyWorkstationsVersionMachine