中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Runtime engine for dynamic profile guided stride prefetching

文献类型:期刊论文

作者Zou, Qiong2,3; Li, Xiao-Feng1; Zhang, Long-Bing3
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2008-07-01
卷号23期号:4页码:633-643
关键词stride prefetching dynamic profiling runtime system
ISSN号1000-9000
英文摘要Stride prefetching is recognized as an important technique to improve memory access performance. The prior work usually profiles and/or analyzes the program behavior offline, and uses the identified stride patterns to guide the compilation process by injecting the prefetch instructions at appropriate places. There are some researches trying to enable stride prefetching in runtime systems with online profiling, but they either cannot discover cross-procedural prefetch opportunity, or require special supports in hardware or garbage collection. In this paper, we present a prefetch engine for JVM (Java Virtual Machine). It firstly identifies the candidate load operations during just-in-time (JIT) compilation, and then instruments the compiled code to profile the addresses of those loads. The runtime profile is collected in a trace buffer, which triggers a prefetch controller upon a protection fault. The prefetch controller analyzes the trace to discover any stride patterns, then modifies the compiled code to inject the prefetch instructions in place of the instrumentations. One of the major advantages of this engine is that, it can detect striding loads in any virtual code places for both regular and irregular code, not being limited with plain loop or procedure scopes. Actually we found the cross-procedural patterns take about 30% of all the prefetchings in the representative Java benchmarks. Another major advantage of the engine is that it has runtime overhead much smaller (the maximal is less than 4.0%) than the benefits it brings. Our evaluation with Apache Harmony JVM shows that the engine can achieve an average 6.2% speed-up with SPECJVM98 and DaCapo on Intel Pentium 4 platform, in spite of the runtime overhead.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000257809900012
出版者SCIENCE PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/11090]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zou, Qiong
作者单位1.Intel China Res Ctr, Beijing 100190, Peoples R China
2.Univ Sci & Technol China, Dept Comp Sci, Hefei 230027, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Key Lab Comp Syst & Architecture, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zou, Qiong,Li, Xiao-Feng,Zhang, Long-Bing. Runtime engine for dynamic profile guided stride prefetching[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2008,23(4):633-643.
APA Zou, Qiong,Li, Xiao-Feng,&Zhang, Long-Bing.(2008).Runtime engine for dynamic profile guided stride prefetching.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,23(4),633-643.
MLA Zou, Qiong,et al."Runtime engine for dynamic profile guided stride prefetching".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 23.4(2008):633-643.

入库方式: OAI收割

来源:计算技术研究所

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