ParTejas

Author:

Malhotra Geetika1,Kalayappan Rajshekar1,Goel Seep1,Aggarwal Pooja1,Sagar Abhishek1,Sarangi Smruti R.1

Affiliation:

1. Indian Institute of Technology Delhi, India

Abstract

In this article, we present the design of a novel parallel architecture simulator called ParTejas . ParTejas is a timing simulation engine that gets its execution traces from instrumented binaries using a fast shared-memory-based mechanism. Subsequently, the waiting threads simulate the execution of multiple pipelines and an elaborate memory system with support for multilevel coherent caches. ParTejas is written in Java and primarily derives its speedups from the use of novel data structures. Specifically, it uses lock-free slot schedulers to design an entity called a parallel port that effectively models the contention at shared resources in the CPU and memory system. Parallel ports remove the need for fine-grained synchronization and allow each thread to use its local clock. Unlike conventional simulators that use barriers for synchronization at epoch boundaries, we use a sophisticated type of barrier, known as a phaser. A phaser allows threads to perform additional work without waiting for other threads to arrive at the barrier. Additionally, we use a host of Java-specific optimizations and use profiling to effectively schedule the threads. With all our optimizations, we demonstrate a speedup of 11.8× for a multi-issue in-order pipeline and 10.9× for an out-of-order pipeline with 64 threads, for a suite of seven Splash2 and Parsec benchmarks. The simulation error is limited to 2% to 4% as compared to strictly sequential simulation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Modeling and Simulation

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PInTE: Probabilistic Induction of Theft Evictions;2022 IEEE International Symposium on Workload Characterization (IISWC);2022-11

2. Fast and Accurate Statistical Simulation of Shared-Memory Applications on Multicore Systems;IEEE Transactions on Parallel and Distributed Systems;2022-10-01

3. ChunkedTejas;ACM Transactions on Modeling and Computer Simulation;2020-07-31

4. Two monologues do not make a dialogue: the need for medical specialty–specific communication workshops: population-based study;BMJ Leader;2019-01-21

5. Fast parallel simulation of a manycore architecture with a flit-level on-chip network model;Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation;2018-07-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3