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dc.contributor.author Stewart, Craig A.
dc.contributor.author Tan, Tin Wee
dc.contributor.author Buckhorn, Markus
dc.contributor.author Hart, David
dc.contributor.author Berry, Donald K.
dc.contributor.author Zhang, Louxin
dc.contributor.author Wernert, Eric
dc.contributor.author Sakharkar, Meena
dc.contributor.author Fischer, Will
dc.contributor.author McMullen, Donald F.
dc.date.accessioned 2011-12-21T18:53:45Z
dc.date.available 2011-12-21T18:53:45Z
dc.date.issued 11/10/1999
dc.identifier.uri http://hdl.handle.net/2022/14008
dc.description.abstract The global high performance computing community has seen two overarching changes in the past five years. One of these changes was the consolidation toward SMP clusters as the predominant HPC system architecture. The other change was the emergence of computing grids as an important architecture in high performance computing. Several major national and international projects are now underway to develop grid technologies. Computational grids will increase the resources available to the most advanced computational scientists and encourage the use of advanced techniques by researchers who have not traditionally employed such technologies. In the latter camp are bioinformaticists in general and evolutionary biologists in particular, although this situation is changing rapidly. en
dc.description.sponsorship This work was greatly facilitated by IBM Shared University Research grants to Indiana University in 1998 and 1999. en
dc.language.iso en_US en
dc.title Evolutionary biology and computational grids en
dc.type Technical Report en
dc.altmetrics.display true en_US


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