Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system

David A. Bader, Vipin Sachdeva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Advances in experimental techniques have transformed biology into a data-intensive science, with a rapid explosion of data at the genomic and proteomic level. Few comprehensive suites of computationally-intensive life science applications are available to the computer science community for optimization of current high-performance architectures specifically targeted towards the computational biology applications. BioSplash represents a wide variety of opensource codes spanning the heterogeneity of algorithms, biological problems, popularity among biologists, and memory traits, gearing the suite to be of importance to both biologists and computer scientists.

Original languageEnglish (US)
Title of host publication2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages83-84
Number of pages2
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States
Duration: Aug 8 2005Aug 11 2005

Publication series

Name2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Conference

Conference2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/TerritoryUnited States
CityStanford, CA
Period8/8/058/11/05

All Science Journal Classification (ASJC) codes

  • General Engineering

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