The performance of runtime data cache prefetching in a dynamic optimization system

Jiwei Lu, H. Chen, Rao Fu, Wei Chung Hsu, B. Othmer, Pen Chung Yew, Dong Yuan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Scopus citations

Abstract

Traditional software controlled data cache prefetching is often ineffective due to the lack of runtime cache miss and miss address information. To overcome this limitation, we implement runtime data cache prefetching in the dynamic optimization system ADORE (ADaptive Object code Reoptimization). Its performance has been compared with static software prefetching on the SPEC2000 benchmark suite. Runtime cache prefetching shows better performance. On an Itanium 2 based Linux workstation, it can increase performance by more than 20% over static prefetching on some benchmarks. For benchmarks that do not benefit from prefetching, the runtime optimization system adds only 1%-2% overhead. We have also collected cache miss profiles to guide static data cache prefetching in the ORC compiler. With that information the compiler can effectively avoid generating prefetches for loops that hit well in the data cache.

Original languageEnglish (US)
Title of host publicationProceedings - 36th International Symposium on Microarchitecture, MICRO 2003
PublisherIEEE Computer Society
Pages180-190
Number of pages11
ISBN (Electronic)076952043X
DOIs
StatePublished - 2003
Event36th International Symposium on Microarchitecture, MICRO 2003 - San Diego, United States
Duration: Dec 3 2003Dec 5 2003

Publication series

NameProceedings of the Annual International Symposium on Microarchitecture, MICRO
Volume2003-January
ISSN (Print)1072-4451

Other

Other36th International Symposium on Microarchitecture, MICRO 2003
CountryUnited States
CitySan Diego
Period12/3/0312/5/03

Keywords

  • Application software
  • Cities and towns
  • Computer science
  • Data engineering
  • Microprocessors
  • Optimizing compilers
  • Prefetching
  • Programming profession
  • Runtime
  • Software performance

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