dc.contributor.authorAdrianto Wirawan
dc.date.accessioned2010-09-16T07:28:39Z
dc.date.available2010-09-16T07:28:39Z
dc.date.copyright2010en_US
dc.date.issued2010
dc.identifier.citationAdrianto, W. (2010). Heterogeneous multi-core systems for bioinformatics. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/42096
dc.description.abstractThe bioinformatics research area is now faced with an obstacle of ever-increasing biological data to verify their biological discovery. As data increases, so does the workload for managing, processing and analysing this data. Combined with the inherent complexity of biological problems, traditional approaches results in long run-time and huge memory requirements. The emergence of accelerator technologies such as multi-core architectures provides the opportunity to achieve significant improvements in execution time for many bioinformatics applications, compared to sequential general-purpose platforms. Using multi-cores to solve large scale bioinformatics applications, such as sequence analysis, is therefore a promising and challenging research field, since large-scale computational bioinformatics problems can benefit much from this kind of processing power.en_US
dc.format.extent188 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.titleHeterogeneous multi-core systems for bioinformaticsen_US
dc.typeThesis
dc.contributor.supervisorKwoh Chee Keongen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeDoctor of Philosophy (SCE)en_US
dc.contributor.researchBioinformatics Research Centreen_US
dc.contributor.supervisor2Bertil Schmidten_US


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