2006 IEEE International Symposium on Workload Characterization最新文献_第3页

MineBench: A Benchmark Suite for Data Mining Workloads MineBench:数据挖掘工作负载的基准测试套件

2006 IEEE International Symposium on Workload Characterization Pub Date : 2006-10-01 DOI: 10.1109/IISWC.2006.302743

R. Narayanan, Berkin Özisikyilmaz, Joseph Zambreno, G. Memik, A. Choudhary

引用次数: 250

Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 Architecture 基于x86-64架构的speccpu2006整数基准测试的性能表征

2006 IEEE International Symposium on Workload Characterization Pub Date : 2006-10-01 DOI: 10.1109/IISWC.2006.302736

Dong Ye, J. Ray, Christophe Harle, D. Kaeli

{"title":"Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 Architecture","authors":"Dong Ye, J. Ray, Christophe Harle, D. Kaeli","doi":"10.1109/IISWC.2006.302736","DOIUrl":"https://doi.org/10.1109/IISWC.2006.302736","url":null,"abstract":"As x86-64 processors become the CPU of choice for the personal computer market, it becomes increasingly important to understand the performance we can expect by migrating applications from a 32-bit environment to a 64-bit environment. For applications that can effectively exploit a larger memory address space (e.g., commercial databases and digital content authoring tools), it is not surprising that x86-64 can provide a performance boost. However, for less-demanding desktop applications that can fit in a 32-bit address space, we would like to know if we can expect any performance benefits by moving to this platform. In this paper, we report on a range of performance characteristics for programs compiled for both 32 bits and 64 bits and run directly (32-bit binaries are run in compatibility mode; 64-bit binaries are run in 64-bit mode) on a single x86-64 based system. In this study we utilize the integer benchmarks from the newly released SPEC CPU2006 suite. We have observed that for the SPEC CPU2006 integer benchmarks, 64-bit mode offers a sizable performance advantage over 32-bit mode (7% on average). However, the advantages vary from benchmark to benchmark, and for a handful of programs, 64-bit mode is significantly slower than 32-bit mode (in this subset of benchmarks, performance is reduced by more than 16% when running in 64-bit mode.) We further analyze 5 benchmarks that exhibit significant differences in performance between these two modes. For this set of CPU2006 integer programs, we present a range of performance characteristics that illustrate the impact of moving to a 64-bit environment. Our results and analysis can be used by performance engineers and developers to better understand how to exploit the capabilities of the x86-64 architecture","PeriodicalId":222041,"journal":{"name":"2006 IEEE International Symposium on Workload Characterization","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132666194","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: 37

"Building Workload Characterization Tools with Valgrind" “使用Valgrind构建工作负载表征工具”

2006 IEEE International Symposium on Workload Characterization Pub Date : 2006-10-01 DOI: 10.1109/IISWC.2006.302723

N. Nethercote, R. Walsh, J. Fitzhardinge

{"title":"\"Building Workload Characterization Tools with Valgrind\"","authors":"N. Nethercote, R. Walsh, J. Fitzhardinge","doi":"10.1109/IISWC.2006.302723","DOIUrl":"https://doi.org/10.1109/IISWC.2006.302723","url":null,"abstract":"Summary form only given. Workload characterization relies heavily on robust and powerful tools to quickly and accurately gather and analyse large amounts of data about program executions. Valgrind is a dynamic binary instrumentation framework for building program analysis tools. Valgrind is best known for a tool, Memcheck, that finds memory errors common in C and C++ programs, but its ability to instrument every instruction and system call a program executes, and inspect every value a program manipulates, without slowing down program execution excessively, makes it an excellent platform for buildings tools suitable for workload characterization. In this tutorial, we introduce Valgrind, describing how you can use it to create powerful tools for doing profiling and trace collection, and to help characterize how workloads affect different machine aspects such as instruction set architecture, the memory hierarchy, and I/O. Valgrind provides powerful analysis tools without excessive slow-down, which allows very large workloads to be analysed easily. Valgrind is open-source (GPL) software, available on x86/Linux, AMD64/Linux, PPC32/Linux, PPC64/Linux, and work is underway to support other platforms. Valgrind tools are regularly used by the developers of many software packages, such as Firefox, OpenOffice, KDE, GNOME, MySQL, Perl, Python, PHP, Samba, RenderMan, SAS, The GIMP, Unreal Tournament, Squid, plus many scientific applications","PeriodicalId":222041,"journal":{"name":"2006 IEEE International Symposium on Workload Characterization","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134102653","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

Characterization of Error-Tolerant Applications when Protecting Control Data 保护控制数据时容错应用的特征

2006 IEEE International Symposium on Workload Characterization Pub Date : 2006-10-01 DOI: 10.1109/IISWC.2006.302738

D. Thaker, D. Franklin, J. Oliver, Susmit Biswas, Derek Lockhart, Tzvetan S. Metodi, F. Chong

{"title":"Characterization of Error-Tolerant Applications when Protecting Control Data","authors":"D. Thaker, D. Franklin, J. Oliver, Susmit Biswas, Derek Lockhart, Tzvetan S. Metodi, F. Chong","doi":"10.1109/IISWC.2006.302738","DOIUrl":"https://doi.org/10.1109/IISWC.2006.302738","url":null,"abstract":"Soft errors have become a significant concern and recent studies have measured the \"architectural vulnerability factor\" of systems to such errors, or conversely, the potential that a soft error is masked by latches or other system behavior. We take soft-error tolerance one step further and examine when an application can tolerate errors that are not masked. For example, a video decoder or approximation algorithm can tolerate errors if the user is willing to accept degraded output. The key observation is that while the decoder can tolerate error in its data, it can not tolerate error in its control. We first present static analysis that protects most control operations. We examine several SPEC CPU2000 and MiBench benchmarks for error tolerance, develop fidelity measures for each, and quantify the effect of errors on fidelity. We show that protecting control is crucial to producing error-tolerance, for without this protection, many applications experience catastrophic errors (infinite execution time or crashing). Overall, our results indicate that with simple control protection, the error tolerance of many applications can provide designers with considerable added flexibility when considering future challenges posed by soft errors","PeriodicalId":222041,"journal":{"name":"2006 IEEE International Symposium on Workload Characterization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133796048","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: 43

Constructing a Non-Linear Model with Neural Networks for Workload Characterization 用神经网络构建工作负荷表征的非线性模型

2006 IEEE International Symposium on Workload Characterization Pub Date : 2006-10-01 DOI: 10.1109/IISWC.2006.302739

Richard M. Yoo, Han Lee, K. Chow, Hsien-Hsin S. Lee

引用次数: 41

Characterization of Scientific Workloads on Systems with Multi-Core Processors 多核处理器系统上科学工作负载的表征

2006 IEEE International Symposium on Workload Characterization Pub Date : 1900-01-01 DOI: 10.1109/IISWC.2006.302747

S. Alam, R. Barrett, J. Kuehn, P. Roth, J. Vetter

引用次数: 121