Simulations And Analysis of Cosmic Microwave Background Polarization Data At The Petascale And Beyond

千万亿级及以上宇宙微波背景偏振数据的模拟和分析

• 批准号: 0905099
• 负责人: Katherine Yelick
• 金额: $ 75.56万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905099&HistoricalAwards=false
• 关键词: Simulations; Analysis; Cosmic; Microwave; Background

AST-0905099SimonThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The Cosmic Microwave Background (CMB) is the earliest possible image of the Universe, consisting of primordial photons last scattered only 400,000 years after the Big Bang. The statistics of the tiny anisotropies in the CMB temperature and polarization encode not only the parameters of cosmology, but also insights into fundamental physics at the highest energies. In addition CMB science has been very successful in engaging the public. Since its discovery, CMB experiments have sought to detect ever fainter signals at ever higher resolution, requiring ever increasing data volumes. For the last decade the analysis of CMB data sets has become a high performance computing challenge. This project will take the current state-of-the-art CMB simulation and analysis code suite and undertake the computer science research program needed to take it from the tera- to the peta-scale and beyond, informed by the actual requirements of some of the most computationally-challenging planned CMB polarization experiments, including the proposed CMBpol satellite mission.The project will start by creating a stripped-down test code that retains all of the computational but none of the scientific complexity of the existing core code base, which will be used to implement a range of possible solutions to known current bottlenecks. The second phase will pass the lessons learned with the test code back into the full science code suite, and use it to perform previously intractable analyses as proof of performance. This includes implementing run-time self-tuning. The project will also use its proof of performance tests to undertake currently intractable analyses in support of next-generation experiments, to field a new tool for application-driven whole-system performance analysis, and to introduce a new generation of data analysts to ultra high performance computing.The research team includes PI Simon, an authority on high performance computing systems and trends, as well as sparse matrix algorithms, and CoPI Borrill, who has led the efforts to deploy high performance computing for CMB data analysis, both on specific missions and for the international CMB community as a whole. Long-term collaborator Stompor works with the Planck HFI data analysis team in Paris, and faculty associates Yelick and Demmel add valuable expertise. Leading scientists associated with many of the current ground-based, balloon, and satellite CMB experiments have agreed to lend their expertise, as associates to this project.

AST-0905099西蒙该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。宇宙微波背景（CMB）是宇宙最早的可能图像，由大爆炸后仅40万年最后散射的原始光子组成。 CMB温度和偏振中微小各向异性的统计数据不仅编码了宇宙学的参数，而且还洞察了最高能量下的基础物理学。 此外，CMB科学在吸引公众方面非常成功。 自发现以来，CMB实验一直试图以更高的分辨率检测更微弱的信号，需要不断增加的数据量。 在过去的十年中，CMB数据集的分析已经成为高性能计算的挑战。 该项目将采用当前最先进的CMB模拟和分析代码套件，并根据一些最具计算挑战性的计划CMB偏振实验的实际要求，进行从tera到peta规模及更高级别所需的计算机科学研究计划，包括拟议中的CMBpol卫星使命。该项目将首先创建一个剥离-向下测试代码，保留了现有核心代码库的所有计算复杂性，但没有科学复杂性，这将用于实现一系列可能的解决方案，以解决已知的当前瓶颈。 第二阶段将通过测试代码将学到的经验教训传递回完整的科学代码套件，并使用它来执行以前难以处理的分析作为性能证明。 这包括实现运行时自调优。 该项目还将利用其性能验证测试来进行目前难以处理的分析，以支持下一代实验，为应用驱动的全系统性能分析提供新工具，并将新一代数据分析师引入超高性能计算。研究团队包括PI Simon，高性能计算系统和趋势的权威，以及稀疏矩阵算法，和CoPI Borrill，他领导了为CMB数据分析部署高性能计算的工作，无论是在特定任务中还是在整个国际CMB社区中。 长期合作者Stompor与巴黎的普朗克HFI数据分析团队合作，教职员工Yelick和Demmel增加了宝贵的专业知识。 与目前许多地基、气球和卫星CMB实验有关的主要科学家已同意将他们的专业知识作为该项目的合作伙伴。