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 techniquesParadigmHardwareMachineComputationLanguageCapabilityResourcesComparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison
Miller P, Nadkarni P, Pearson W. Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison. Bioinformatics 1992, 8: 167-175. PMID: 1591612, DOI: 10.1093/bioinformatics/8.2.167.Peer-Reviewed Original ResearchConceptsDatabase of sequencesBiological sequence comparisonParallel computationMachine-independent parallel programming languageParallel programming languageHypercube parallel computerProgramming languageSoftware platformParallel computersParallel machinesExpressive powerBiological sequencesParallelizationPlatform programComputationModest sacrificeBenchmark testsLogicDatabaseCase studyComputerPortabilityMachineLindaRelative advantagesMolecular dynamics simulation on a network of workstations using a machine-independent parallel programming language
Shifman M, Windemuth A, Schulten K, Miller P. Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language. Journal Of Biomedical Informatics 1992, 25: 168-180. PMID: 1582193, DOI: 10.1016/0010-4809(92)90019-7.Peer-Reviewed Original ResearchConceptsMachine-independent parallel programming languageParallel programming languageProgramming languageShared memory parallel computerHigh performance Unix workstationsNetwork of workstationsParallel computing approachMemory parallel computersComputing approachNetworked workstationsUNIX workstationsParallel computersExpensive phaseEffective algorithmResearch communityPerformance benchmarksWorkstationsAlgorithmNetworkGlobal motionLanguageComputerLindaSimulationsBenchmarks
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 and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm
Miller P, Nadkarni P, Carriero N. Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm. Bioinformatics 1991, 7: 71-78. PMID: 2004277, DOI: 10.1093/bioinformatics/7.1.71.Peer-Reviewed Original ResearchConceptsSequence comparison algorithmAmount of computationMachine-independent parallel programming languageComparison algorithmsDisk I/OParallel programming languageParallel program runsO bottleneck problemDifferent parallel machinesBiological sequence comparisonNumber of processorsTime-consuming computationProgramming languageParallelization strategyParallel computationParallel machinesProgram design strategiesProgram runBottleneck problemFASTA algorithmFASTAAlgorithmComputationBottleneckGeneral problemParallel 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 studyWorkstationsVersionMachineMolecular dynamics simulation on a network of workstations using a machine-independent parallel programming language.
Shifman M, Windemuth A, Schulten K, Miller P. Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language. AMIA Annual Symposium Proceedings 1991, 414-8. PMID: 1807634, PMCID: PMC2247565.Peer-Reviewed Original ResearchConceptsMachine-independent parallel programming languageParallel programming languageProgramming languageShared memory parallel computerHigh performance Unix workstationsNetwork of workstationsParallel computing approachMemory parallel computersComputing approachNetworked workstationsUNIX workstationsParallel computersExpensive phaseEffective algorithmResearch communityPerformance benchmarksWorkstationsAlgorithmNetworkGlobal motionLanguageComputerLindaSimulationsBenchmarks