课题基金 / 基金详情

CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud

CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud
CiC (RDDC):云中数据密集型生物计算的商品化
批准号:
1048253
负责人:
Wuchun Feng
金额:
$37.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-15 至 2016-03-31

项目摘要

项目成果

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中文摘要
翻译
在生命科学领域,今天?的DNA测序仪可以在一分钟内产生一个太字节(或1万亿字节)的数据。 因此,DNA序列数据库的规模增长速度超过了个人计算机的计算速度。 因此,科学家和工程师必须越来越多地依靠高性能计算(HPC)的并行性来跟上步伐。不幸的是,这些HPC资源不仅拥有和维护成本高昂,而且难以访问和使用。MetaRx软件环境通过转变和商品化云计算基础设施(如Microsoft Azure)来解决上述问题,从而大大加速科学家和工程师的发现过程。 云计算的这种转变和商品化为科学家提供了通过易于使用的云接口提供大量计算和存储资源的能力,包括?瞬间移动数据通过A?WonkaVision的科学数据?比喻 随着计算被广泛认为是科学的第三支柱,补充了传统的理论和实验支柱,以及数据密集型科学发现作为科学的第四支柱(或第四范式)出现,MetaRx使领域科学家能够专注于他/她的科学,而不是高性能计算的细节。
英文摘要
In the life sciences, today?s DNA sequencers can generate a terabyte (or 1 trillion bytes) of data in a minute. As a consequence, the size of DNA sequence databases is growing faster than they can be computed upon with a personal computer. Thus, scientists and engineers must increasingly rely on the parallelism of high-performance computing (HPC) to keep pace. Unfortunately, not only are such HPC resources costly to own and maintain, but they are also difficult to access and use. The MetaRx software environment addresses the above issues by transforming and commoditizing cloud computing infrastructures, such as Microsoft Azure, to massively accelerate the discovery process for scientists and engineers. This transformation and commoditization of cloud computing provides scientists with the capability of provisioning large amounts of computational and storage resources via an easy-to-use interface to the cloud, including the capability of ?teleporting? data via a ?WonkaVision for scientific data? metaphor. With computing widely recognized as the third pillar of science, complementing the traditional pillars of theory and experimentation, and with data-intensive scientific discovery emerging as a fourth pillar (or fourth paradigm) of science, MetaRx empowers the domain scientist to focus on his/her science rather than the minutia of high-performance computing.
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会议论文
Collaborative Research: Workshop Series on Sustainable Computing
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Phase-I IUCRC Virginia Tech: Center for Space, High-performance, and Resilient Computing (SHREC)
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