Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization最新文献

A study of code reuse and sharing characteristics of Java applications Java应用程序的代码重用和共享特性研究

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809356

M. Conte, A. Trick, J. Gyllenhaal, Wen-mei W. Hwu, Wen-mei W. Hwu

引用次数: 6

On the use of trace sampling for architectural studies of desktop applications 在桌面应用程序的架构研究中使用跟踪采样

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809355

P. Crowley, J. Baer

引用次数: 24

Workload characterization: motivation, goals and methodology 工作量描述:动机、目标和方法

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809354

L. John, P. Vasudevan, J. Sabarinathan

{"title":"Workload characterization: motivation, goals and methodology","authors":"L. John, P. Vasudevan, J. Sabarinathan","doi":"10.1109/WWC.1998.809354","DOIUrl":"https://doi.org/10.1109/WWC.1998.809354","url":null,"abstract":"Understanding the characteristics of workloads is extremely important in the design of efficient computer architectures. Accurate characterization of workload behavior leads to the design of improved architectures. The characterization of applications allows one to tune the processor micro-architecture, memory hierarchy and system architecture to suit particular features in programs. Workload characterization also has a significant impact on performance evaluation. Understanding the nature of the workload and its intrinsic features can help to interpret performance measurements and simulation results. Identifying and characterizing the intrinsic properties of an application in terms of its memory access behavior, locality, control flow behavior, instruction-level parallelism, etc. can eventually lead to a program behavior model, which can be used in conjunction with a processor model to do analytical performance modeling of computer systems. In this paper, we describe the objectives of workload characterization and emphasize the importance of obtaining architecture-independent metrics for workloads. A study of memory reference locality using some generic metrics is presented as an example.","PeriodicalId":190931,"journal":{"name":"Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128642473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 69

Instruction-level characterization of scientific computing applications using hardware performance counters 使用硬件性能计数器的科学计算应用程序的指令级表征

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809368

Yong Luo, K. Cameron

引用次数: 9

Memory access pattern analysis 内存访问模式分析

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809366

M. Brown, R. Jenevein, N. Ullah

引用次数: 4

Parameter value characterization of Windows NT-based applications 基于Windows nt的应用程序的参数值表征

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809370

J. Kalamatianos, D. Kaeli, R. Chaiken

引用次数: 5

Performance and memory-access characterization of data mining applications 数据挖掘应用程序的性能和内存访问特性

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809358

J. P. Bradford, J. Fortes

{"title":"Performance and memory-access characterization of data mining applications","authors":"J. P. Bradford, J. Fortes","doi":"10.1109/WWC.1998.809358","DOIUrl":"https://doi.org/10.1109/WWC.1998.809358","url":null,"abstract":"Characterizes the performance and memory-access behavior of a decision tree induction program, a previously unstudied application used in data mining and knowledge discovery in databases. Performance is studied via RSIM, an execution-driven simulator, for three uniprocessor models that exploit instruction-level parallelism to varying degrees. Several properties of the program are noted. Out-of-order dispatch and multiple issue provide a significant performance advantage: 50%-250% improvement in inter-processor communication (IPC) for out-of-order dispatch vs. in-order dispatch, and 5%-120% improvement in IPC for four-way issue vs. single issue. Multiple issue provides a greater performance improvement for larger L2 cache sizes, when the program is limited by CPU performance; out-of-order dispatch provides a greater performance improvement for smaller L2 cache sizes. The program has a very small instruction footprint: for an 8-kB L1 instruction cache, the instruction miss rate is below 0.1%. A small (8 kB) L1 data cache is sufficient to capture most of the locality of the data references, resulting in L1 miss rates between 10%-20%. Increasing the size of the L2 data cache does not significantly improve performance until a significant fraction (over 1/4) of the data set fits into the L2 cache. Lastly, a procedure is developed for scaling the cache sizes when using scaled-down data sets, allowing the results for smaller data sets to be used to predict the performance of full-sized data sets.","PeriodicalId":190931,"journal":{"name":"Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29

Characterizing response time of WWW caching proxy servers WWW缓存代理服务器响应时间的表征

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809360

C. Murta, Virgílio A. F. Almeida

引用次数: 4

I/O workload characteristics of modern servers 现代服务器的I/O工作负载特征

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809364

W. T. Boyd, R. Recio

引用次数: 3

Generation of 3D graphics workload for system performance analysis 生成三维图形工作负载，用于系统性能分析

Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization Pub Date : 1998-11-29 DOI: 10.1109/WWC.1998.809357

A. Poursepanj, D. Christie

{"title":"Generation of 3D graphics workload for system performance analysis","authors":"A. Poursepanj, D. Christie","doi":"10.1109/WWC.1998.809357","DOIUrl":"https://doi.org/10.1109/WWC.1998.809357","url":null,"abstract":"Generation of representative workloads for system performance models has been a challenge for PC system architects who are using trace-driven models. Unlike processor performance models that typically only use a single CPU instruction trace, system models in most cases require traces of CPU, Advanced Graphics Port (AGP), PCI and other bus mastering devices that can access memory. A common approach is to collect bus traces with a logic analyzer. Although this allows the generation of realistic traces, typical analyzer buffer sizes seriously limit the length of contiguous traces. Another problem is that traces collected in a specific system configuration may not be representative of other systems, especially future systems with different timings and/or bus protocols. This paper presents an overview of an approach that can be used to generate long bus traces for performance model stimulus. We describe methods for the characterization of system behavior and for the generation of accurate synthetic graphics traces based on real traces, and give examples of correlated CPU and AGP traces that are synthetic but reflect the characteristics of real CPU/AGP traces.","PeriodicalId":190931,"journal":{"name":"Workload Characterization: Methodology and Case Studies. Based on the First Workshop on Workload Characterization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4