The Potential and Problems in using High Performance Computing in the Arts and Humanities: the Researching e-Science Analysis of Census Holdings (ReACH) Project
The Potential and Problems in using High Performance Computing in the Arts and Humanities: the Researching e-Science Analysis of Census Holdings (ReACH) Project
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在艺术和人文学科中使用高性能计算的潜力和问题：人口普查的电子科学分析 (ReACH) 项目
DOI：
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发表时间：
2009
影响因子：
0.4
通讯作者：
Melissa Mhairi Terras
中科院分区：
文献类型：
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作者：
Melissa Mhairi Terras
e-Science和高性能计算（HPC）有可能使大型数据集以复杂和新颖的方式快速，高效地搜索和分析。由于缺乏可用的大规模数据集，以及对电子科学技术的了解或使用很少，很少将网格技术的处理能力应用于人文数据。人口普查数据的研究性电子科学分析（ReACH）范围研究是AHRC资助的电子科学研讨会系列，旨在研究网格计算在历史学家，人文主义者，数字消费者和公众感兴趣的大型数据集上的潜在应用：历史人口普查记录。2006年夏天在伦敦大学学院举办了三次为期一天的研讨会，研讨会系列汇集了不同领域的专业知识，以确定使用伦敦大学学院提供的HPC设施分析来自图书馆和国家档案馆的数据集的有用性、可能性或可行性。本文详细介绍了在尝试将HPC应用于历史数据集时，项目中突出的学术、技术、管理和法律的问题。此外，人文科学研究人员试图利用HPC技术在他们的研究所面临的一般问题。
e-Science and high performance computing (HPC) have the potential to allow large datasets to be searched and analysed quickly, efficiently, and in complex and novel ways. Little application has been made of the processing power of grid technologies to humanities data, due to lack of available large-scale datasets, and little understanding of or access to e-Science technologies. The Researching e-Science Analysis of Census Holdings (ReACH) scoping study, an AHRC-funded e-science workshop series, was established to investigate the potential application of grid computing to a large dataset of interest to historians, humanists, digital consumers, and the general public: historical census records. Consisting of three one-day workshops held at UCL in Summer 2006, the workshop series brought together expertise across different domains to ascertain how useful, possible, or feasible it would be to analyse datasets from Ancestry and The National Archives using the HPC facilities available at UCL. This article details the academic, technical, managerial, and legal issues highlighted in the project when attempting to apply HPC to historical data sets. Additionally, generic issues facing humanities researchers attempting to utilise HPC technologies in their research are presented.