A 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