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Progress Towards Petascale Applications in Biology: Status in 2006

机译:生物学中紫花板应用的进展情况:2006年地位

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Petascale computing is currently a common topic of discussion in the high performance computing community. Biological applications, particularly protein folding, are often given as examples of the need for petascale computing. There are at present biological applications that scale to execution rates of approximately 55 teraflops on a special-purpose supercomputer and 2.2 teraflops on a general-purpose supercomputer. In comparison, Qbox, a molecular dynamics code used to model metals, has an achieved performance of 207.3 teraflops. It may be useful to increase the extent to which operation rates and total calculations are reported in discussion of biological applications, and use total operations (integer and floating point combined) rather than (or in addition to) floating point operations as the unit of measure. Increased reporting of such metrics will enable better tracking of progress as the research community strives for the insights that will be enabled by petascale computing.
机译:PetaScale Computing是目前在高性能计算社区中讨论的共同主题。尤其是蛋白质折叠的生物学应用,通常作为需要PetaScale计算的实例。目前,目前的生物应用,在通用超级计算机上的特殊超级计算机和2.2 TERAFLOPS上规模为大约55次TERAPS的执行率。相比之下,QBox是用于模拟金属的分子动力学代码,实现了207.3 Teraflops的性能。增加在讨论生物应用中报告运营速率和总计算的程度可能是有用的,并使用总操作(整数和浮点组合)而不是(或除了)浮点操作中作为测量单位。随着研究界的争执,增加了这些指标的报告,可以更好地跟踪进度,因为研究界争取了PetaScale Computing能够实现的见解。

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