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A Call for Participation in XSEDE Computing: Statisticians Needed for Big Data

机译:呼吁参与XSEDE计算:大数据需要统计学家

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摘要

In this age of Big Data, The New York Times and The Wall Street Journal reported that statistics is cool. Yet, when it comes to high-performance computing (HPC), a necessary component in dealing with Big Data, the statistics community is still largely absent. ASA President Marie Davidian says "Mentions of statistics or statisticians were scant" in recent Nature and Science articles on data. Big Data are becoming synonymous with just "data" as more people use the term and data sets get bigger, but it is mostly the truly big data on big resources that make the news. "Statistical, mathematical, and computational sciences are a key to innovation and discoveries in this era of Big Data and observation," said Sastry Pantula, director of the Division of Mathematical Sciences at the National Science Foundation (NSF). "NSF is making significant investments in advanced cyber infrastructure (ACI), and it is important for our communities to take advantage of facilities like XSEDE for their research and for training their undergraduate and graduate students."
机译:在这个大数据时代,《纽约时报》和《华尔街日报》报道了统计数据很酷。但是,当涉及到高性能计算(HPC)时,它是处理大数据的必要组成部分,但统计界仍然十分缺乏。 ASA总裁玛丽·戴维迪安(Marie Davidian)在最近有关数据的《自然与科学》文章中说:“很少有统计人员或统计学家。”随着越来越多的人使用“大数据”这个术语,并且数据集变得越来越大,大数据正变得仅是“数据”的代名词,但是新闻才是大资源上真正的大数据。国家科学基金会(NSF)数学科学系主任Sastry Pantula表示:“统计,数学和计算科学是当今大数据和观测时代创新和发现的关键。 “ NSF在高级网络基础设施(ACI)上进行了大量投资,对于我们的社区来说,利用XSEDE之类的设施进行研究并培训其本科生和研究生很重要。”

著录项

  • 来源
    《AMSTAT news》 |2013年第432期|31-32|共2页
  • 作者

    George Ostrouchov;

  • 作者单位

    Dak Ridge National Laboratory and University of Tennessee;

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  • 原文格式 PDF
  • 正文语种 eng
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