Scientific computing in the Americas: the challenge of massive parallelism; Valparaiso, Chile; January 3-14, 2011

美洲的科学计算：大规模并行性的挑战；

• 批准号: 1036435
• 负责人: Lorena Barba
• 金额: --
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1036435&HistoricalAwards=false
• 关键词: Scientific; computing; Americas; challenge; massive

Scientific computing as a means of discovery has the promise of solving some of the most enduring challenges in science. Understanding global climate, unraveling the mysteries of turbulence, predicting natural disasters such as earthquakes and tsunamis, untangling the complexities of life by simulating the proteins that make its building- blocks, all these, and more, are being tackled by scientists today using high-performance computing (HPC). And today, more than ever, an opportunity presents itself for exciting discoveries through HPC, thanks to the advent of new computer architectures that bring huge increases in performance, at lower power consumption and much reduced prices. The new HPC hardware based on graphics processors (GPUs) is a technology that can level the playing field for scientists in many parts of the world to participate in leading-edge computational research. This Pan-American Advanced Studies Institutes (PASI) award, jointly supported by the NSF and the Department of Energy (DOE), will take place January 3-14, 2011 at the Universidad Tecnica Federico Santa María (UTFSM) in Valparaíso, Chile. Organized by Dr. Lorena Barba of Boston University, an interdisciplinary group of collaborators and participants will explore the feasibility of adapting and applying GPU technologies to complex, outstanding problems in the physical sciences. Participants will include a complementary mix of geoscientists, computer scientists, mathematicians, and physicists. Lectures, tutorials and hands-on activities will be focused on modern hardware computing, fundamental algorithms for massively parallel computational applications, and recent developments in open source libraries and programming. PASI participants will include approximately 30 U.S. and Latin American students supported by this award and a similar number of local participants supported by Chilean agencies. An ancillary mentoring session for postdoctoral scholars will provide advice on succeeding in modern academic environments. This PASI aims to initiate a pole of development for high-performance computing using modern hardware, and to stimulate international collaboration and future initiatives leading to student exchanges, joint projects and new funding opportunities for the participants. Graduate students and postdoctoral researchers will have a unique learning experience; they will be trained in the use of the most important software tools for HPC, including those specific to GPUs, and the syllabus will put emphasis on the open-source model for science. The chosen applications, e.g., simulation of tsunamis, will attract the attention of the general public, offering opportunities for dissemination in the press and other media. Extensive dissemination of the learning materials online will ensure impact beyond the duration of the institute itself.

科学计算作为一种发现手段，有望解决科学中一些最持久的挑战。了解全球气候，解开湍流的奥秘，预测地震和海啸等自然灾害，通过模拟构成生命基石的蛋白质来解开生命的复杂性，所有这些，以及更多，都是科学家们今天使用高性能计算（HPC）解决的问题。今天，比以往任何时候都更有机会通过高性能计算获得令人兴奋的发现，这要归功于新计算机架构的出现，这些架构带来了性能的巨大提高，功耗更低，价格也大大降低。基于图形处理器（gpu）的新型HPC硬件是一种技术，可以为世界许多地方的科学家提供公平的竞争环境，以参与前沿的计算研究。这项由美国国家科学基金会（NSF）和美国能源部（DOE）联合支持的泛美高级研究所（PASI）奖将于2011年1月3日至14日在智利Valparaíso的费德里科圣塔技术大学María （UTFSM）举行。由波士顿大学的Lorena Barba博士组织，一个跨学科的合作者和参与者小组将探索适应和应用GPU技术解决物理科学中复杂、突出问题的可行性。参与者将包括地球科学家、计算机科学家、数学家和物理学家。讲座、教程和实践活动将集中于现代硬件计算、大规模并行计算应用程序的基本算法，以及开源库和编程的最新发展。PASI参与者将包括大约30名获得该奖项支持的美国和拉丁美洲学生，以及由智利机构支持的类似数量的当地参与者。一个辅助的博士后指导会议将提供在现代学术环境中取得成功的建议。该PASI旨在利用现代硬件推动高性能计算的发展，并促进国际合作和未来倡议，为参与者带来学生交流、联合项目和新的资助机会。研究生和博士后研究人员将有独特的学习体验；他们将接受训练，学习如何使用最重要的高性能计算软件工具，包括那些专门针对gpu的软件工具。教学大纲将强调科学的开源模型。所选择的应用，例如海啸的模拟，将吸引一般公众的注意，为报刊和其他媒介的传播提供机会。在网上广泛传播学习材料将确保其影响超出研究所本身的期限。