Cycle-accurate full system simulation for CPU+GPU+HBM computing platform

Yoonah Paik, Miseon Han, Kyu Hyun Choi, Minseong Kim, S. Kim
{"title":"Cycle-accurate full system simulation for CPU+GPU+HBM computing platform","authors":"Yoonah Paik, Miseon Han, Kyu Hyun Choi, Minseong Kim, S. Kim","doi":"10.23919/ELINFOCOM.2018.8330603","DOIUrl":null,"url":null,"abstract":"Nowadays GPUs have evolved into a general purpose computing platform that can handle large amounts of data, and they began to be integrated with CPUs in one chip to avoid data transfer bottleneck and reduce its required energy. Furthermore, HBM works with the integrated CPU and GPU for providing high memory throughput from lower-level memories while preserving energy efficiency for data transfer. In order to study and develop such systems in academia and industry, their cycle-accurate full system simulators became necessary, but they are not available in public. In this paper, we introduce the simulator that is adapted and integrated from several well-known simulators, i.e., PTLSim for CPU, GPGPU-Sim for GPU and DRAMSim2 for HBM. Our evaluation result showed that our simulation speed reaches 72.76% of the GPU+HBMsimulator.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELINFOCOM.2018.8330603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Nowadays GPUs have evolved into a general purpose computing platform that can handle large amounts of data, and they began to be integrated with CPUs in one chip to avoid data transfer bottleneck and reduce its required energy. Furthermore, HBM works with the integrated CPU and GPU for providing high memory throughput from lower-level memories while preserving energy efficiency for data transfer. In order to study and develop such systems in academia and industry, their cycle-accurate full system simulators became necessary, but they are not available in public. In this paper, we introduce the simulator that is adapted and integrated from several well-known simulators, i.e., PTLSim for CPU, GPGPU-Sim for GPU and DRAMSim2 for HBM. Our evaluation result showed that our simulation speed reaches 72.76% of the GPU+HBMsimulator.
周期精确的全系统仿真CPU+GPU+HBM计算平台
如今gpu已经发展成为可以处理大量数据的通用计算平台,为了避免数据传输瓶颈,降低所需能量,gpu开始与cpu集成在一块芯片上。此外,HBM与集成的CPU和GPU一起工作,以提供来自低级存储器的高内存吞吐量,同时保持数据传输的能源效率。为了在学术界和工业界研究和开发这样的系统,他们的周期精确的全系统模拟器是必要的,但他们没有公开。本文介绍了一种基于PTLSim (CPU)、GPGPU-Sim (GPU)和DRAMSim2 (HBM)等知名仿真器进行改编和集成的仿真器。评估结果表明,我们的仿真速度达到了GPU+ hbm模拟器的72.76%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信