Collaborative Research: CCRI: Planning-C: Accelerated Infrastructure for Simulating Future Systems

合作研究：CCRI：Planning-C：模拟未来系统的加速基础设施

• 批准号: 2213808
• 负责人: Nam Sung Kim
• 金额: $ 5万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213808&HistoricalAwards=false
• 关键词: Collaborative; Research; CCRI; Planning; Accelerated

Software-based simulation is the backbone of computer architecture research and development. The project novelty is the identification of the following problems with these methodologies: (1) The use of on-premise servers for running simulations suffers from the high operation and embodied energy costs. Although simulation performance has always been a primary engineering focus of software-based simulators, energy consumption and environmental impacts of detailed hardware simulation have mainly been ignored. (2) Detailed software-based simulations have different run-time characteristics than baremetal applications. Such differences make the general-purpose servers with default server configurations extremely inefficient for running detailed simulations. (3) Lastly, full-system simulation environments have steep learning curves that further steepen as the hardware and software stacks to be simulated become more complex. The project’s impacts are to bring the CISE community's attention to the energy waste at the onpremise simulation clusters and provide a foundation for minimizing the energy and carbon footprint of future hardware evaluation.The investigators’ goal is to create a cloud-based community infrastructure for running simulations. This community infrastructure eliminates the need for funding agencies such as NSF to invest in on-premise servers and significantly reduce the end-to-end carbon footprint of simulations. More specifically, investigators extensively analyze the source code and run-time of the popular architectural simulators to understand their characteristics as a software program that needs to be efficiently executed on real hardware. The investigators use the profiling results to tune system parameters and provide a highly optimized environment for running architectural simulations. They enhance the proposed cloud infrastructure with hardware accelerators that further improve popular architectural simulators' energy efficiency and performance. The infrastructure follows a marketplace model for sharing and using simulation models and setups developed by other researchers to reduce the learning curve of detailed simulations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

基于软件的仿真是计算机架构研发的骨干。项目的新颖性是通过这些方法识别以下问题：（1）将本地服务器用于运行模拟的运行遭受高运行和体现的能源成本。尽管模拟性能一直是基于软件的模拟器的主要工程重点，但是详细的硬件模拟的能耗和环境影响主要被忽略。 （2）详细的基于软件的模拟具有与Baremetal应用程序不同的运行时间特征。这种差异使得具有默认服务器配置的通用服务器极其无效，无法运行详细的模拟。 （3）最后，全系统模拟环境具有钢曲线，随着要模拟的硬件和软件堆栈的进一步钢曲线变得更加复杂。该项目的影响是将CISE社区的注意力引起Onpremise模拟群集的能源浪费，并为将未来硬件评估的能量和碳足迹降至最低。研究人员的目标是创建一个基于云的社区基础架构来进行运行模拟。该社区基础设施消除了对NSF等资助机构投资本地服务器的需求，并大大减少了模拟的端到端碳足迹。更具体地说，调查人员广泛分析了流行的体系结构模拟器的源代码和运行时间，以理解其特征作为一个软件程序，需要在真实硬件上有效执行。研究人员使用分析结果来调整系统参数，并为运行的架构模拟提供了高度优化的环境。他们使用硬件加速器增强了拟议的云基础架构，从而进一步提高了流行的建筑模拟器的能源效率和性能。基础设施遵循了一个市场模型，用于共享和使用其他研究人员开发的模拟模型和设置，以减少详细模拟的学习曲线。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得的支持。