Analytic models of workload behavior and pipeline performance

被引：4
|
作者：
Squillante, MS
Kaeli, DR
Sinha, H
机构：
来源：
MASCOTS '97 - FIFTH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS | 1997年
关键词：
D O I：
10.1109/MASCOT.1997.567589
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The evaluation of pipeline performance and the analysis of different design alternatives and cost/performance tradeoffs are a fundamental aspect of high-performance computer system design. This performance evaluation process requires accurate models of both the pipeline organization and the characteristics of the workload being executed. In this paper we derive general mathematical models and analyses of workload behavior and pipeline performance that can provide measures as accurate as detailed trace-driven simulations with the computational efficiency of analytic methods.
引用
收藏
页码：91 / 96
页数：6
相关论文
共 50 条
  • [21] Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
    Saxena, Deepika
    Kumar, Jitendra
    Singh, Ashutosh Kumar
    Schmid, Stefan
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 34 (04) : 1313 - 1330
  • [22] The Analytic Identification of Variance Component Models Common to Behavior Genetics
    Hunter, Michael D.
    Garrison, S. Mason
    Burt, S. Alexandra
    Rodgers, Joseph L.
    BEHAVIOR GENETICS, 2021, 51 (04) : 425 - 437
  • [23] The Analytic Identification of Variance Component Models Common to Behavior Genetics
    Michael D. Hunter
    S. Mason Garrison
    S. Alexandra Burt
    Joseph L. Rodgers
    Behavior Genetics, 2021, 51 : 425 - 437
  • [24] Task performance and eye activity: Predicting behavior relating to cognitive workload
    Tsai, Yi-Fang
    Viirre, Erik
    Strychacz, Christopher
    Chase, Bradley
    Jung, Tzyy-Ping
    AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2007, 78 (05): : B176 - B185
  • [25] Performance Prediction for Deep Learning Models With Pipeline Inference Strategy
    Wang, Zhenyi
    Yang, Pengfei
    Zhang, Bowen
    Hu, Linwei
    Lv, Wenkai
    Lin, Chengmin
    Zhang, Cheng
    Wang, Quan
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (02) : 2964 - 2978
  • [26] Prediction of Corroded Pipeline Performance Based on Dynamic Reliability Models
    Aulia, Reza
    Tan, Henry
    Sriramula, Srinivas
    26TH CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE), 2019, 80 : 518 - 523
  • [27] Spatial and Temporal Analytic Pipeline for Evaluation of Potential Guide Dogs Using Location and Behavior Data
    Wu, Yifan
    Holder, Timothy
    Foster, Marc
    Williams, Evan
    Enomoto, Masataka
    Lascelles, B. Duncan X.
    Bozkurt, Alper
    Roberts, David L.
    NINTH INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2022, 2022,
  • [28] Analytic Performance Models of Applications in Multi-core Computers
    Bardhan, Shouvik
    Menasce, Daniel A.
    2013 IEEE 21ST INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS & SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2013), 2013, : 318 - 322
  • [29] Performance evaluation of serial photolithography clusters: Queueing models, throughput and workload sequencing
    Morrison, James R.
    Bortnick, Beverly
    Martin, Donald P.
    2006 IEEE/SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE AND WORKSHOP, 2006, : 44 - +
  • [30] Analytic Modeling of Network Processors for Parallel Workload Mapping
    Weng, Ning
    Wolf, Tilman
    ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2009, 8 (03)
12345