MRI-Consortium: Acquisition of a Supercomputer by the Front Range Computing Consortium

MRI 联盟：Front Range 计算联盟收购超级计算机

• 批准号: 0821794
• 负责人: Henry Tufo
• 金额: $ 279.65万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0821794&HistoricalAwards=false
• 关键词: MRI; Consortium; Acquisition; Supercomputer; Front

Proposal #: CNS 08-21794PI(s): Tufo, Henry M. Julie, Keith; Loft, Richard D.; Mandel, Jan; Syvitski, James P.Institution: University of Colorado - Boulder Boulder, CO 80309-0572Title: MRI/Acq.: Acq. of a Supercomputer by the Front Range Computing ConsortiumProject Proposed:This project, acquiring instrumentation to investigate and address the technical obstacles to practical petascale computing for CU-Denver, CU-Boulder, and NCAR, explores the interplay of multi-core, intra-socket and inter-node parallelism in a variety of applications and additionally studies extreme application scalability, (issues critical to the petascale era). The work enables the researchers from the Front Range Computing Consortium (FRCC) to make discoveries in multiple areas through the supercomputing instrument with peak performance (over 100 TeraFLOPs). Access to this critical state-of-the-art Track 3 computational instrumentation enables HPC-driven problems such as Earth-System Sciences (e.g., climatology, critical oceanography, meteorology, land surface dynamics), Biotechnology (e.g., genomics, structural biology, microbial ecology), renewable energy applications; Material Science (e.g., nano-structured composites), turbulence, turbulent magnetic dynamos, and laser-plasma acceleration, and Computational Science. The instrument proposed combines Sun?s highest density Constellation assemblies, Intel?s next generation Nehalem-EP microprocessors, a custom InfiniBand QDR-based mesh interconnect, NVIDIA accelerators, and Sun Thumper storage modules to produce a highly balanced I/O rich, and cost-effective computing system. This new instrument, deployed within the integrated framework of the FRCC, offers a broad spectrum of investigators the necessary computational ecosystem to advance their research and strengthen their collaborations with national laboratories. Because the HPC manifested by NSF cyber-infrastructure hierarchy calls for ?a significant number of systems with peak performance in the 50-500 teraflops range, deployed and supported on the local level by individual campuses and research organizations,? the instrument fits into the NSF cyber-infrastructure hierarchy as a track 3 system and will have a software environment that allows it to peer seamlessly with other NSF cyber-infrastructure investments. Exhibiting potential to benefit other Directorates and Offices, this work undoubtedly directly benefits GEO, MPS, BIO, ENG, OCI, and CISE.Broader Impacts:This project brings together a broad and diverse set of disciplines to focus on key research priorities. The Consortium also decreases the barrier for collaboration between researchers at institutions along the Front Range, thereby accelerating scientific discovery, increasing scientific productivity, and fostering vibrant HPC ecology. Moreover, the instrumentation facilitates focused education, training, outreach, and support. Courses offered through this initiative are a vital component of training the next generation of scientists and engineers in the areas of modeling and scientific computing, numerical analysis, applied analysis, and high performance computing. The instrumentation supports ten historically black colleges and universities through distance learning courses and leverages existing mentoring programs such as NCAR?s Summer Internship in Parallel Computational Science (SIParCS), UCAR?s Significant Opportunities in Atmospheric Research and Science program (SOARS), and the CU Boulder?s Summer Multicultural Access to Research Training (SMART) programs.

提案编号：CNS 08- 21794 PI：Tufo，亨利M. 作者：Julie，基思; Loft，Richard D.; Mandel，Jan; Syvitski，James P.机构：科罗拉多大学博尔德分校Boulder，CO 80309- 0572标题： MRI/采集：获取该项目旨在获取仪器，以调查和解决CU-Denver、CU-Boulder和NCAR的实际千万亿次计算的技术障碍，探索多核、套接字内和节点间并行性在各种应用中的相互作用，并进一步研究极端的应用可扩展性（千万亿次时代的关键问题）。这项工作使前端计算联盟（FRCC）的研究人员能够通过具有峰值性能（超过100 TeraFLOP）的超级计算仪器在多个领域进行发现。访问这一关键的最先进的轨道3计算仪器，使HPC驱动的问题，如地球系统科学（例如，气候学、临界海洋学、气象学、陆地表面动力学）、生物技术（例如，基因组学、结构生物学、微生物生态学）、可再生能源应用;材料科学（例如，纳米结构复合材料），湍流，湍流磁发电机，激光等离子体加速，和计算科学。该仪器建议结合太阳？最高密度的星座组件，英特尔？的下一代Nehalem-EP微处理器、定制的基于InfiniBand QDR的网状互连、NVIDIA加速器和Sun Thumper存储模块，以产生高度平衡的I/O丰富且经济高效的计算系统。这一新工具部署在FRCC的综合框架内，为广泛的研究人员提供了必要的计算生态系统，以推进他们的研究并加强他们与国家实验室的合作。因为NSF网络基础设施层次结构所体现的HPC要求？由各个校园和研究机构在地方一级部署和支持的、峰值性能在50-500万亿次浮点运算范围内的大量系统，？该仪器作为一个轨道3系统适合于NSF网络基础设施层次结构，并将具有一个软件环境，使其能够与NSF的其他网络基础设施投资无缝地对等。这项工作无疑将直接使政府工程处、公共工程处、生物工程处、环境工程处、工业和信息化部和工业和社会工程处受益。更广泛的影响：该项目汇集了广泛而多样的学科，侧重于关键的研究优先事项。该联盟还减少了沿着Front Range的机构的研究人员之间的合作障碍，从而加快了科学发现，提高了科学生产力，并促进了充满活力的HPC生态。此外，该工具有助于重点突出的教育、培训、外联和支持。通过这一举措提供的课程是培训建模和科学计算，数值分析，应用分析和高性能计算领域的下一代科学家和工程师的重要组成部分。仪器支持十个历史上黑人学院和大学通过远程学习课程，并利用现有的辅导计划，如NCAR？的夏季实习并行计算科学（SIParCS），UCAR？的重大机遇，在大气研究和科学计划（SOARS），和CU博尔德？夏季多元文化访问研究培训（SMART）计划。