9th Workshop on Parallel-in-Time Integration
第九届并行时间集成研讨会
基本信息
- 批准号:1945322
- 负责人:
- 金额:$ 2.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-10-15 至 2021-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
9th Workshop on Parallel-in-Time IntegrationMichigan Technological University Houghton, Michigan June 8-12,2020.http://conferences.math.mtu.eduComputer models and simulations play a central role in the study of complex systems in engineering, life sciences, medicine, chemistry, and physics. Utilizing modern supercomputers to run models and simulations allows for experimentation in virtual laboratories, thus saving both time and resources. Although the next generation of supercomputers will contain an unprecedented number of processors, this will not automatically increase the speed of running simulations. New mathematical algorithms are needed that can fully harness the processing potential of these new systems. Parallel-in-time methods, the subject of this workshop, are timely and necessary, as they extend existing computer models to these next generation machines by adding a new dimension of scalability. Thus, the use of parallel-in-time methods will provide dramatically faster simulations in many important areas, such as biomedical applications (e.g., heart modeling), computational fluid dynamics (e.g., aerodynamics and weather prediction), and machine learning. Computational and applied mathematics plays a foundational role in this projected advancement. The primary focus of the parallel-in-time workshop is to disseminate cutting-edge research and facilitate scientific discussions on the field of parallel time integration methods. This workshop aligns with the National Strategic Computing Initiative (NCSI) objective: 'increase coherence between technology for modeling/simulation and data analytics'. The need for parallel time integration is being driven by microprocessor trends, where future speedups for computational simulations will come through using increasing numbers of cores and not through faster clock speeds. Thus as spatial parallelism techniques saturate, parallelization in the time direction offers the best avenue for leveraging next generation supercomputers with billions of processors. Regarding the mathematical treatment of parallel time integrators, one must use advanced methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretization and integration, convergence analyses of iterative methods, and the development and implementation of new parallel algorithms. Thus, the workshop will bring together an interdisciplinary group of experts spanning these areas. NSF support for this conference will be used to engage junior researchers in this important research topic.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
第九届平行时间集成研讨会密歇根理工大学霍顿分校,2020年6月8-12日。http://conferences.math.mtu.eduComputer模型和模拟在工程、生命科学、医学、化学和物理等复杂系统的研究中起着核心作用。利用现代超级计算机运行模型和模拟,可以在虚拟实验室中进行实验,从而节省时间和资源。虽然下一代超级计算机将包含空前数量的处理器,但这不会自动提高运行模拟的速度。需要新的数学算法来充分利用这些新系统的处理潜力。并行实时方法是本次研讨会的主题,是及时和必要的,因为它们通过增加可伸缩性的新维度将现有的计算机模型扩展到这些下一代机器。因此,实时并行方法的使用将在许多重要领域提供更快的模拟,例如生物医学应用(例如,心脏建模)、计算流体动力学(例如,空气动力学和天气预报)和机器学习。计算和应用数学在这一预期的进步中起着基础作用。并行时间研讨会的主要重点是传播并行时间积分方法领域的前沿研究和促进科学讨论。本次研讨会与国家战略计算计划(NCSI)的目标一致:“增加建模/仿真技术与数据分析技术之间的一致性”。对并行时间集成的需求是由微处理器趋势驱动的,未来计算模拟的速度将通过使用越来越多的内核而不是更快的时钟速度来实现。因此,随着空间并行技术的饱和,时间方向的并行化为利用具有数十亿处理器的下一代超级计算机提供了最佳途径。关于并行时间积分器的数学处理,必须使用先进的方法,从泛函分析设置的偏微分方程理论,数值离散和积分,迭代方法的收敛分析,以及新的并行算法的开发和实现。因此,讲习班将汇集跨越这些领域的跨学科专家小组。NSF对本次会议的支持将用于吸引初级研究人员参与这一重要的研究课题。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Benjamin Ong其他文献
Systems approaches for localising the SDGs: co-production of place-based case studies
可持续发展目标本地化的系统方法:共同制作基于地方的案例研究
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:10.8
- 作者:
David T. Tan;J. Siri;Y. Gong;Benjamin Ong;S. Lim;B. Macgillivray;T. Marsden - 通讯作者:
T. Marsden
Mass-spectrometry in dna diagnostics
- DOI:
10.1097/01268031-201042001-00062 - 发表时间:
2010-01-01 - 期刊:
- 影响因子:
- 作者:
Benjamin Ong;Belinda Chong;Dean Phelan;Melissa Chow;Desirée du Sart - 通讯作者:
Desirée du Sart
Community-based shared values as a ‘Heart-ware’ driver for integrated watershed management: Japan-Malaysia policy learning perspective
基于社区的共同价值观作为综合流域管理的“心件”驱动力:日本-马来西亚政策学习视角
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Z. Mohamad;Affan Nasaruddin;Siti Norasiah Abd Kadir;Mohd Noor Musa;Benjamin Ong;Nobumitsu Sakai - 通讯作者:
Nobumitsu Sakai
Benjamin Ong的其他文献
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{{ truncateString('Benjamin Ong', 18)}}的其他基金
CBMS Conference: Parallel Time Integration
CBMS 会议:并行时间积分
- 批准号:
1933342 - 财政年份:2020
- 资助金额:
$ 2.52万 - 项目类别:
Standard Grant
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