Collaborative Research SI2-SSE:Sustained Innovation in Acceleration of Molecular Dynamics on Future Computational Environments: Power to the People in the Cloud and on Accelerators

合作研究 SI2-SSE：未来计算环境中分子动力学加速的持续创新：为云端和加速器中的人们提供力量

• 批准号: 1148276
• 负责人: Amitava Majumdar
• 金额: $ 32.08万
• 依托单位: University of California-San Diego
• 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: 2012-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1148276&HistoricalAwards=false
• 关键词: Collaborative; Research; SI2; SSE; Sustained

This collaborative project between the San Diego Supercomputer Center at the University of California San Diego, the Quantum Theory Project at the University of Florida and industrial partners NVIDIA, Intel and Amazon is focused on developing innovative, comprehensive open source software element libraries for accelerating condensed phase Molecular Dynamics (MD) simulations of biomolecules using next generation accelerator hardware including Intel's MIC system and Graphics Processing Units (GPU). It will extend support to include all major MD techniques and develop open source accelerated analysis libraries. A priority is enhanced sampling techniques including Thermodynamic Integration, constant pH algorithms, Multi-Dimensional Hamiltonian Replica Exchange and Metadynamics. These elements will then be combined, in collaboration with Amazon to support MD as-a-service through easily accessible web front ends to cloud services, including Amazon's EC2 GPU hardware. Transitioning large scale MD workflows from requiring access to large supercomputer hardware to being accessible to all on desktop and cloud resources provides the critical software infrastructure to support transformative research in the fields of chemistry, life science, materials science, environmental and renewable energy.The software elements created through this project have an extremely broad impact. The integration of comprehensive support for next generation hardware acceleration into the AMBER software alone benefits a very large user base. With over 10,000 downloads of the latest AMBER Tools package from unique IPs and 800 sites using the AMBER MD engines testify to the scope of the community of researchers this work impacts. The development of simple web based front ends for use of elastically scalable cloud resources makes simulations routine for all researchers. Meanwhile education and outreach efforts train the next generation of scientists not just in how to use the MD acceleration libraries and advanced MD simulation techniques developed here but also gets them thinking about how their approach can be transformed given that performance that was previously restricted to large scale supercomputers is now available on individual desktops.

这个由加州大学圣地亚哥分校圣地亚哥超级计算机中心、佛罗里达大学量子理论项目以及工业合作伙伴 NVIDIA、英特尔和亚马逊之间的合作项目专注于开发创新、全面的开源软件元素库，以加速凝聚阶段使用下一代加速器硬件（包括英特尔的 MIC 系统和图形处理单元 (GPU)）对生物分子进行分子动力学 (MD) 模拟。它将扩大支持范围，涵盖所有主要 MD 技术并开发开源加速分析库。优先考虑的是增强采样技术，包括热力学积分、恒定 pH 算法、多维哈密顿副本交换和元动力学。然后，我们将与 Amazon 合作将这些元素结合起来，通过易于访问的 Web 前端到云服务（包括 Amazon 的 EC2 GPU 硬件）来支持 MD 即服务。将大规模 MD 工作流程从需要访问大型超级计算机硬件转变为可访问所有桌面和云资源，这为支持化学、生命科学、材料科学、环境和可再生能源领域的变革性研究提供了关键的软件基础设施。通过该项目创建的元素具有极其广泛的影响。将对下一代硬件加速的全面支持集成到 AMBER 软件中，使庞大的用户群受益匪浅。最新的 AMBER 工具包从独特的 IP 和 800 个使用 AMBER MD 引擎的站点下载超过 10,000 次，证明了这项工作对研究人员社区的影响范围。开发简单的基于网络的前端以使用可弹性扩展的云资源使模拟成为所有研究人员的日常工作。与此同时，教育和推广工作不仅培训下一代科学家如何使用这里开发的MD加速库和先进的MD模拟技术，而且让他们思考如何改变他们的方法，因为以前仅限于大规模的性能超级计算机现在可以在个人桌面上使用。