Collaborative Research: Software Infrastructure for Accelerating Grand Challenge Science with Future Computing Platforms

协作研究：利用未来计算平台加速重大挑战科学的软件基础设施

• 批准号: 1216898
• 负责人: Viktor Prasanna
• 金额: $ 35万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1216898&HistoricalAwards=false
• 关键词: Collaborative; Research; Software; Infrastructure; Accelerating

Solving scientific grand challenges requires effective use of cyber infrastructure. Future computing platforms, including Field Programmable Gate Arrays (FPGAs), General Purpose Graphics Processing Units (GPGPUs), multi-core and multi-threaded processors, and Cloud computing platforms, can dramatically accelerate innovation to solve complex problems of societal importance when supported by a critical mass of sustainable software.This project will organize scientific communities to help leverage the disruptive potential of future computing platforms through sustainable software. Grand challenge problems in biological science, social science, and security domains will be targeted based on their under-served needs and demonstrated possibilities. Users will be engaged through interdisciplinary workshops that bring together domain experts with software technologists with the goals of identifying core opportunity areas, determining critical software infrastructure, and discovering software sustainability challenges. The outcome will be an in-depth conceptual design for a Center for Sustainable Software on Future Computing Platforms, as part of the Software Infrastructure for Sustained Innovation (SI2) program. The design, scoped toward grand challenge problems, will identify common and specialized software infrastructure, research, development and outreach priorities, and coordination with the SSE and SSI components of the SI2 program. The interactions will offer a comprehensive understanding of grand challenges that best map to future computing platforms and the software infrastructure to best support scientists' needs. The workshops will enhance understanding of future platforms' potential for transformative research and lead to key insights into cross-cutting problems in leveraging their potential. Published results will help guide future research and reduce barriers to entry for under-represented groups.

解决科学的重大挑战需要有效利用网络基础设施。未来的计算平台，包括现场可编程门阵列（FPGA）、通用图形处理单元（GPGPU）、多核和多线程处理器以及云计算平台，在大量可持续软件的支持下，可以大大加快创新，解决具有社会重要性的复杂问题。该项目将组织科学界，帮助利用未来计算平台的破坏性潜力可持续的软件。生物科学、社会科学和安全领域的重大挑战问题将根据其未得到充分满足的需求和已证明的可能性而成为目标。用户将通过跨学科研讨会参与，这些研讨会将领域专家与软件技术专家聚集在一起，旨在确定核心机会领域，确定关键软件基础设施，并发现软件可持续性挑战。其成果将是未来计算平台上可持续软件中心的深入概念设计，作为可持续创新软件基础设施（SI2）计划的一部分。该设计将针对重大挑战问题，确定通用和专用软件基础设施，研究，开发和推广优先事项，以及与SI2计划的SSE和SSI组件的协调。这些互动将提供对重大挑战的全面理解，这些挑战最好地映射到未来的计算平台和软件基础设施，以最好地支持科学家的需求。这些讲习班将增进对未来平台进行变革性研究的潜力的了解，并导致对利用其潜力方面的跨领域问题的关键见解。公布的结果将有助于指导未来的研究，并减少代表性不足群体的进入障碍。