Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/42096
Title: Heterogeneous multi-core systems for bioinformatics
Authors: Adrianto Wirawan
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2010
Source: Adrianto, W. (2010). Heterogeneous multi-core systems for bioinformatics. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: The 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.
URI: https://hdl.handle.net/10356/42096
DOI: 10.32657/10356/42096
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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