数据密集型计算

Leslie S. Perkins, P. Andrews, D. Panda, Dave Morton, R. Bonica, N. H. Werstiuk, Randy Kreiser
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引用次数: 37

摘要

在过去的十年里,计算能力有了惊人的增长,使研究人员能够解决大型复杂问题——这是我们模拟复杂世界的能力向前迈出的一大步。这种增强的能力导致产生大量数据,并用于越来越详细的模拟。正是这些数据的位置、查看、操作、存储、移动、共享和解释——现在已经达到数百tb,而且还在不断增长——导致了主要的性能瓶颈。数据密集计算已经成为解决这个问题的一个主题。先进虚拟引擎测试单元(AVETeC)公司和计算机科学公司(CSC)根据合同,将与能源部和美国宇航局戈达德(马里兰州格林贝尔特)合作,在俄亥俄州斯普林斯菲尔德市的AVETeC国防部主要共享资源中心建立、整合和管理一个试验台。该试验台环境将积极评估新兴技术,以改善数据管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data intensive computing
Over the past decade, computing power has increased extraordinarily, enabling researchers to tackle large complex problems -- a great step forward in our ability to model the complex world. This increased capability resulted in massive amounts of data being produced and used by increasingly detailed simulations. It is the location, viewing, manipulation, storage, movement, sharing, and interpretation of this data -- now in hundreds of terabytes and growing -- that is causing major performance bottleneck. Data Intensive Computing has emerged as a topic to address the problem. The Advanced Virtual Engine Test Cell (AVETeC) Inc. and Computer Sciences Corporation (CSC) are under contract to establish, integrate and manage a test bed located at Department of Defense Major Shared Resource Center, Wright-Patterson Air Force Base, OH, at AVETeC in Springfield, OH collaborating with Department of Energy, and NASA Goddard, Greenbelt, MD. This test bed environment will actively evaluate emerging technologies to improve data management.
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