Collaborative Research: Frameworks: Advancing Computer Hardware and Systems' Research Capability, Reproducibility, and Sustainability with the gem5 Simulator Ecosystem

协作研究:框架:利用 gem5 模拟器生态系统提升计算机硬件和系统的研究能力、可重复性和可持续性

基本信息

项目摘要

This project aims to improve the cyberinfrastructure ecosystem for computer system research by expanding and improving the popular gem5 simulation infrastructure. The breakdown in Moore’s Law and Dennard Scaling is leading to a drastic increase in the scale of computing systems, making it increasingly difficult to make broad scientific progress in research to improve computer systems without considering the entire scale of the hardware-software stack from transistors to applications. This project will build on prior NSF investments and scale the gem5 simulator to more users, more types of computing systems, larger and higher fidelity computing systems, and more scientific communities beyond computer architecture. These improvements to the gem5 simulation infrastructure will enable researchers to design and understand the next generation of supercomputers, laptops, and mobile devices. It also supports education and diversity by creating teaching materials to broaden the participation in computer systems research for both graduate and undergraduate students.Working with a large and diverse team of experts from the computer architecture community, this project will develop a wide variety of improvements to the gem5 simulation infrastructure. This includes modeling future devices and phenomena such as reliability, security, and chiplets; creating scalable models for modern hardware by improving the accuracy of current models, adding support for emerging vector extensions, and improving support for common accelerators such as GPUs; scaling simulation performance by optimizing gem5’s performance and providing interoperability with other simulation infrastructure; improving modularity, reusability, and reproducibility by making baseline system easier to use and providing ready-to-use benchmarks for many domains; and sustaining the community with outreach and education by running workshops, tutorials, bootcamps and expanding gem5’s userbase beyond computer architects through developing asynchronous learning and teaching tools. Additionally, it will help ensure the long-term sustainability of the gem5 infrastructure by growing a sustainable ecosystem and increasing participation in computer system research.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Computing and Communications Foundations within the Directorate for Computer and Information Science and Engineering.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.
该项目旨在通过扩展和改进流行的gem5模拟基础设施来改善计算机系统研究的网络基础设施生态系统,摩尔定律和登纳德缩放比例的崩溃导致计算系统规模急剧增加,使得广泛应用变得越来越困难。该项目将建立在 NSF 先前投资的基础上,并将 gem5 模拟器扩展到更多用户、更多类型、更大和更高的计算系统。这些对 gem5 模拟基础设施的改进将使研究人员能够设计和理解下一代超级计算机、笔记本电脑和移动设备,并通过创建拓宽教学材料来支持教育和多样性。研究生和本科生参与计算机系统研究。该项目将与来自计算机体系结构社区的庞大且多元化的专家团队合作,对 gem5 模拟基础设施进行各种改进,其中包括对未来设备和现象进行建模。例如可靠性、安全性和小芯片;通过提高当前模型的准确性、增加对新兴矢量扩展的支持以及改进对 GPU 等通用加速器的支持,为现代硬件创建可扩展的模型;通过使基线系统更易于使用并为许多领域提供即用型基准来提高可重复性,并通过举办研讨会、教程、训练营和扩展 gem5 来维持社区的推广和教育;此外,通过发展可持续的生态系统和增加对计算机系统研究的参与,它将有助于确保 gem5 基础设施的长期可持续性。该奖项由高级网络基础设施办公室联合颁发。该奖项由计算机和信息科学与工程理事会内的计算和通信基金会部门支持。该奖项反映了 NSF 的法定使命,并且通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Mohammad Alian其他文献

Simulating PCI-Express Interconnect for Future System Exploration
模拟 PCI-Express 互连以进行未来系统探索
SmartDIMM: In-Memory Acceleration of Upper Layer Protocols
SmartDIMM:上层协议的内存加速
Don’t Forget the I/O When Allocating Your LLC
分配 LLC 时不要忘记 I/O
The gem5 Simulator: Version 20.0+
gem5 模拟器:版本 20.0
  • DOI:
    10.1109/tc.2019.2957355
  • 发表时间:
    2020-07-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jason Lowe;Abdul Mutaal Ahmad;Ayaz Akram;Mohammad Alian;Rico Amslinger;M. Andreozzi;Adrià Armejach;N. Asmussen;Srikant Bharadwaj;Gabriel Black;Gedare Bloom;Bobby R. Bruce;Daniel Rodrigues Carvalho;J. Castrillón;Lizhong Chen;Nicolas Derumigny;S. Diestelhorst;Wendy Elsasser;Marjan Fariborz;A. Farmahini;P. Fotouhi;Ryan Gambord;Jayneel G;hi;hi;Dibakar Gope;Thomas Grass;Bagus Hanindhito;Andreas Hansson;Swapnil Haria;Austin Harris;Timothy Hayes;Adrián Herrera;Matthew Horsnell;Syed Ali Raza Jafri;R. Jagtap;Hanhwi Jang;Reiley Jeyapaul;Timothy M. Jones;Matthias Jung;Subash Kannoth;Hamidreza Khaleghzadeh;Yuetsu Kodama;T. Krishna;Tom Marinelli;Christian Menard;Andrea Mondelli;T. Muck;Omar Naji;Krishnendra Nathella;H. Nguyen;Nikos Nikoleris;Lena E. Olson;Marc S. Orr;B. Pham;P. Prieto;Trivikram Reddy;A. Roelke;Mahyar Samani;Andreas S;berg;berg;J. Setoain;Boris Shingarov;Matthew D. Sinclair;T. Ta;Rahul Thakur;G. Travaglini;M. Upton;Nilay Vaish;Ilias Vougioukas;Zhengrong Wang;N. Wehn;C. Weis;D. Wood;Hongil Yoon;'Eder F. Zulian
  • 通讯作者:
    'Eder F. Zulian
pd-gem5: Simulation Infrastructure for Parallel/Distributed Computer Systems
pd-gem5:并行/分布式计算机系统的仿真基础设施

Mohammad Alian的其他文献

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{{ truncateString('Mohammad Alian', 18)}}的其他基金

CAREER: Near-Memory Datacenter Network
职业:近内存数据中心网络
  • 批准号:
    2239020
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Conference: Student Travel Grant Request for IEEE International Symposium on Performance Analysis of Systems and Software
会议:IEEE 系统和软件性能分析国际研讨会学生旅费资助申请
  • 批准号:
    2310166
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: AI-Assisted Just-in-Time Scaffolding Framework for Exploring Modern Computer Design
合作研究:EAGER:用于探索现代计算机设计的人工智能辅助即时脚手架框架
  • 批准号:
    2327971
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: AI-Assisted Just-in-Time Scaffolding Framework for Exploring Modern Computer Design
合作研究:EAGER:用于探索现代计算机设计的人工智能辅助即时脚手架框架
  • 批准号:
    2327971
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2022
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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