HiPC 2016研讨会1:大数据计算基础国际研讨会(BigDF)

M. Govindaraju, Saumyadipta Pyne
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引用次数: 0

摘要

什么构成了“大数据”问题?哪些应用领域最适合从大数据分析和计算中获益?一个应用程序有哪些特点和特征使其适合利用大数据分析?如何设计大数据系统和框架以允许对复杂数据集进行集成和分析?大数据分析研究如何从超级计算和高性能计算(HPC)架构的最新进展中受益?本次研讨会的目标是解决这些对大数据计算的发展至关重要的问题,并在此过程中,建立一个多元化的研究社区,拥有共同的愿景,通过大数据计算来推进知识和发现的状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HiPC 2016 Workshop 1: International Workshop on Foundations of Big Data Computing (BigDF)
Description What constitutes a “Big Data” problem? What application domains are best suited to benefit from Big Data analytics and computing? What are the traits and characteristics of an application that make it suited to exploit Big Data analytics? How can Big Data systems and frameworks be designed to allow the integration and analysis of complex data sets? How can research in Big Data Analytics benefit from the latest advances in supercomputing and High Performance Computing (HPC) architectures? The goal of this workshop is to address questions like these that are fundamental to the advancement of Big Data computing, and in the process, build a diverse research community that has a shared vision to advance the state of knowledge and discovery through Big Data computing.
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