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: 1216504
• 负责人: David Bader
• 金额: $ 10.44万
• 依托单位: Georgia Tech Research Corporation
• 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=1216504&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，以及云计算平台，可以极大地加速创新，以解决社会范围内的范围内的范围，以实现措施的范围，以帮助实现社会的范围，以实现不断的措施，可以使未来的范围逐步衡量社会的范围。可持续软件。生物科学，社会科学和安全领域中的巨大挑战问题将根据其服务不足的需求和证明的可能性而成为目标。用户将通过跨学科研讨会参与，这些研讨会将域专家与软件技术人员汇集在一起​​，其目标是确定核心机会领域，确定关键的软件基础架构并发现软件可持续性挑战。结果将是对未来计算平台可持续软件中心的深入概念设计，这是持续创新软件基础架构（SI2）计划的一部分。该设计涉及大挑战问题，将确定常见和专业的软件基础架构，研究，开发和外展优先级，并与SSE和SSI计划的SSE和SSI组件进行协调。这些互动将对宏伟的挑战提供最大程度地绘制到未来计算平台和软件基础架构以最大程度地支持科学家需求的巨大挑战。这些研讨会将增强对未来平台进行变革性研究潜力的理解，并带来对利用其潜力的交叉切割问题的关键见解。已发表的结果将有助于指导未来的研究，并减少代表性不足的群体的进入障碍。