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: 2213807
• 负责人: Mohammad Alian
• 金额: $ 5万
• 依托单位: University of Kansas Center for Research Inc
• 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 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213807&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.

基于软件的模拟是计算机架构研究和开发的支柱，该项目的新颖性在于发现了这些方法的以下问题：（1）使用本地服务器来运行模拟会受到高运营成本和能源成本的影响。尽管仿真性能一直是基于软件的仿真器的主要工程重点，但详细的硬件仿真的能耗和环境影响主要被忽略了（2）基于软件的详细仿真与裸机应用程序具有不同的运行时特性。这具有默认服务器配置的通用服务器运行详细模拟的效率极低。最后，全系统模拟环境具有陡峭的学习曲线，随着要模拟的硬件和软件堆栈变得更加复杂，该曲线会进一步陡峭。让 CISE 社区关注本地模拟集群的能源浪费，并为最大限度地减少未来硬件评估的能源和碳足迹奠定基础。研究人员的目标是创建一个基于云的社区基础设施来运行模拟。消除了NSF 等资助机构需要投资本地服务器并显着减少模拟的端到端碳足迹。更具体地说，研究人员通常会分析流行的架构模拟器的源代码和运行时，以了解其特征。作为需要在真实硬件上高效执行的软件程序，研究人员使用分析结果来调整系统参数，并为运行架构模拟提供高度优化的环境，他们通过硬件加速器增强了拟议的云基础设施，从而进一步改进了流行的架构模拟器。 ' 能源效率和该基础设施遵循共享和使用其他研究人员开发的模拟模型和设置的市场模型，以减少详细模拟的学习曲线。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和能力进行评估，被认为值得支持。更广泛的影响审查标准。

项目成果

Profiling gem5 Simulator

分析 gem5 模拟器

• DOI: 10.1109/ispass57527.2023.00019
• 发表时间: 2023-04-01
• 期刊: 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
• 作者: Johnson Umeike;Neel Patel;Alex Manley;Amin Mam;ipoor;ipoor;H. Yun;Mohammad Alian
• 通讯作者: Mohammad Alian