超级计算的民主化战略：高性能计算在教育和大数据分析实践中的可用性、可访问性和可用性
Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics
摘要：
除了量子物理学和生物学的相对成熟的超级计算领域之外，在诸如文本分析、商业领域分析、预测和自然语言处理（NLP）的领域中，对通常被称为超级计算的高性能计算（HPC）的兴趣和需求也在增加。HPC已被广泛用于计算机科学（CS）和其他传统的计算密集型学科中，但在很大程度上仍然与大量的社会、行为、商业和经济学科隔离。然而，随着无处不在的大数据，迫切需要使HPC在技术上和经济上可访问，易于使用和操作民主化。因此，本研究的重点是作出两个关键的贡献，第一个是阐明战略的基础上的可用性，可访问性和可用性的去神秘化和民主化的HPC，基于分析审查的Caliburn，一个显着的超级计算机在其成立之初。第二个贡献是一组HPC采用的原则，基于HPC使用的经验叙述，从第一次用户的角度进行文本分析和社交媒体数据的NLP。总结了HPC使用过程和早期分析的输出。这项研究综合了HPC民主化战略的专家意见，并从多学科的角度记录了快速采用超级计算进行文本分析和NLP的挑战和机遇。演绎逻辑用于确定策略，这些策略可以导致研究人员，教师，专业人员和学生在广泛的学科中有效地参与，采用，生产和持续使用研究，教学，应用和创新。
英文摘要：
There has been an increasing interest in and growing need for high performance computing (HPC), popularly known as supercomputing, in domains such as textual analytics, business domains analytics, forecasting and natural language processing (NLP), in addition to the relatively mature supercomputing domains of quantum physics and biology. HPC has been widely used in computer science (CS) and other traditionally computation intensive disciplines, but has remained largely siloed away from the vast array of social, behavioral, business and economics disciplines. However, with ubiquitous big data, there is a compelling need to make HPC technologically and economically accessible, easy to use, and operationally democratized. Therefore, this research focuses on making two key contributions, the first is the articulation of strategies based on availability, accessibility and usability for the demystification and democratization of HPC, based on an analytical review of Caliburn, a notable supercomputer at its inception. The second contribution is a set of principles for HPC adoption based on an experiential narrative of HPC usage for textual analytics and NLP of social media data from a first time user perspective. Both, the HPC usage process and the output of the early stage analytics are summarized. This research study synthesizes expert input on HPC democratization strategies, and chronicles the challenges and opportunities from a multidisciplinary perspective, of a case of rapid adoption of supercomputing for textual analytics and NLP. Deductive logic is used to identify strategies which can lead to efficacious engagement, adoption, production and sustained usage for research, teaching, application and innovation by researchers, faculty, professionals and students across a broad range of disciplines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
