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- W2163669353 abstract "This paper surveys the computational strategies followed to parallelise the most used software in the bioinformatics arena. The studied algorithms are computationally expensive and their computational patterns range from regular, such as database-searching applications, to very irregularly structured patterns (phylogenetic trees). Fine- and coarse-grained parallel strategies are discussed for these very diverse sets of applications. This overview outlines computational issues related to parallelism, physical machine models, parallel programming approaches and scheduling strategies for a broad range of computer architectures. In particular, it deals with shared, distributed and shared/distributed memory architectures." @default.
- W2163669353 created "2016-06-24" @default.
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- W2163669353 date "2001-01-01" @default.
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- W2163669353 title "On the parallelisation of bioinformatics applications" @default.
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- W2163669353 doi "https://doi.org/10.1093/bib/2.2.181" @default.
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