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.

科学计算作为发现的手段有望解决科学中一些最持久的挑战。了解全球气候，揭开湍流的奥秘，预测诸如地震和海啸之类的自然灾害，通过模拟使其建筑块，所有这些以及更多的蛋白质使用高绩效计算（HPC）来应对，从而消除了生命的复杂性。如今，比以往任何时候都有机会通过HPC展示了令人兴奋的发现，感谢新的计算机体系结构的发展，这些架构的性能巨大，以较低的功耗和价格降低。基于图形处理器（GPU）的新型HPC硬件是一项技术，它可以为世界许多地区的科学家提供竞争环境，以参与领先的计算研究。这项由NSF和能源部（DOE）共同支持的泛美高级研究机构（PASI）奖将于2011年1月3日至14日在智利Valparaíso的Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Tecnica Federico SantaMaría（UTFSM）举行。由波士顿大学的洛雷娜·巴尔巴（Lorena Barba）博士组织，跨学科的合作者和参与者将探索适应性的可行性，并将GPU技术应用于物理科学中的复杂，出色的问题。参与者将包括地球科学家，计算机科学家，数学家和物理学家的完整组合。讲座，教程和动手活动将集中在现代硬件计算，针对大规模并行计算应用程序的基本算法以及开源库和编程中的最新发展。 PASI参与者将包括大约30名美国和拉丁美洲学生，并获得该奖项的支持，并在智利机构支持的当地参与者中提供了类似的当地参与者。博士后学者的辅助指导会议将为现代学术环境的成功提供建议。该PASI旨在使用现代硬件启动一根开发杆，以进行高性能计算，并刺激国际协作和未来的计划，从而为参与者提供学生交流，联合项目和新的资金机会。研究生和博士后研究人员将拥有独特的学习经验；它们将接受用于使用HPC（包括特定于GPU的）最重要的软件工具的培训，该教学大纲将重点放在科学的开源模型上。所选的应用程序，例如对海啸的模拟，将引起公众的关注，为新闻界和其他媒体提供传播机会。在线学习材料的广泛传播将确保超出研究所本身的影响。