DLMS: Acquisition of Instrumentation for a Digital Laboratory for Multi-Scale Science

DLMS：为多尺度科学数字实验室采购仪器

• 批准号: 0320907
• 负责人: Shiyi Chen
• 金额: --
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0320907&HistoricalAwards=false
• 关键词: DLMS; Acquisition; Instrumentation; Digital; Laboratory

Proposal No. CTS-0320907Principal Investigator: S. Chen, Johns Hopkins UniversityMulti-scale nonlinear physics is an emerging paradigm for some of the most pressing and exciting scientific problems of the 21st century. These include predicting turbulent and multiphase fluid flow, modeling atmospheric transport of bio-aerosols, nano-engineering materials and devices, and probing the cosmological distribution of matter. The length-scales involved range, literally, from the size of the universe down to the scale of elementary particles. High-performance scientific computing is an indispensable tool in tackling these challenging problems. However, the output generated by simulation of such systems is so large that long-term storage of the data at its source has been problematic. This has led to a prevalent style of research in which very valuable scientific data is used once and then discarded. Utilizing Major Research Instrumentation Funds, the Digital Laboratory for Multiscale Sciences (DLMS) at the Johns Hopkins University will realize a new paradigm in the study of multiscale systems: that of using an integrated database and cluster as a ``virtual laboratory''. This system will allow for fast in-house simulations of the large-scale systems of interest, combined with a long-term storage capability of up to 100 Terabytes of data, search rates of about 10 Gigabytes per second, and fast, flexible computational analysis tools within the database itself. This will allow us to approach parameter space and physical domain sizes that were entirely beyond our reach. Among other projects, a simulation of incompressible fluid turbulence, at an unprecedented grid size of 550 billion points, will be performed at national laboratories and US supercomputer centers and housed and analyzed at the DLMS. We expect that breakthrough developments will be facilitated in an interdisciplinary program of research in science and engineering across the spectrum of multiscale systems. About fifty graduate and undergraduate students and postdoctoral fellows working at the DLMS will receive training in the areas of multiscale sciences, numerical simulation, parallel computing, visualization, data analysis, and data-base technology. We will organize professional workshops introducing the tools developed for the DLMS to a wider audience of scientists. Outreach efforts will disseminate the results of our research and our scientific methods to the local schools and community.

号提案 CTS-0320907主要研究者：S.多尺度非线性物理学是21世纪一些最紧迫和最令人兴奋的科学问题的新兴范式。这些包括预测湍流和多相流体流动，模拟生物气溶胶的大气传输，纳米工程材料和设备，以及探测物质的宇宙分布。 所涉及的长度尺度范围，从字面上看，从宇宙的大小到基本粒子的尺度。 高性能科学计算是解决这些挑战性问题的不可或缺的工具。然而，这种系统的模拟产生的输出是如此之大，长期存储的数据在其来源一直是有问题的。这导致了一种流行的研究风格，其中非常有价值的科学数据被使用一次，然后丢弃。 利用主要研究仪器基金，约翰霍普金斯大学的多尺度科学数字实验室（DLMS）将实现多尺度系统研究的新范式：使用集成数据库和集群作为"虚拟实验室“。 该系统将允许对感兴趣的大规模系统进行快速的内部模拟，并具有高达100 TB数据的长期存储能力，每秒约10 TB的搜索速度，以及数据库本身内快速、灵活的计算分析工具。这将使我们能够接近完全超出我们范围的参数空间和物理域大小。 在其他项目中，不可压缩流体湍流的模拟将在国家实验室和美国超级计算机中心进行，并在DLMS中进行分析。 我们希望在跨多尺度系统的科学和工程研究的跨学科计划中，突破性的发展将得到促进。 在DLMS工作的大约50名研究生和本科生以及博士后研究员将接受多尺度科学、数值模拟、并行计算、可视化、数据分析和数据库技术等领域的培训。我们将组织专业研讨会，向更广泛的科学家介绍为DLMS开发的工具。 外展工作将传播我们的研究成果和我们的科学方法，以当地学校和社区。