NDLI: Locality phase prediction (OPSR, Vol. 38, Issue. 5)

Content Provider	ACM Digital Library
Author	Zhong, Yutao Ding, Chen Shen, Xipeng
Abstract	As computer memory hierarchy becomes adaptive, its performance increasingly depends on forecasting the dynamic program locality. This paper presents a method that predicts the locality phases of a program by a combination of locality profiling and run-time prediction. By profiling a training input, it identifies locality phases by sifting through all accesses to all data elements using variable-distance sampling, wavelet filtering, and optimal phase partitioning. It then constructs a phase hierarchy through grammar compression. Finally, it inserts phase markers into the program using binary rewriting. When the instrumented program runs, it uses the first few executions of a phase to predict all its later executions.Compared with existing methods based on program code and execution intervals, locality phase prediction is unique because it uses locality profiles, and it marks phase boundaries in program code. The second half of the paper presents a comprehensive evaluation. It measures the accuracy and the coverage of the new technique and compares it with best known run-time methods. It measures its benefit in adaptive cache resizing and memory remapping. Finally, it compares the automatic analysis with manual phase marking. The results show that locality phase prediction is well suited for identifying large, recurring phases in complex programs.
Starting Page	165
Ending Page	176
Page Count	12
File Format	PDF
ISSN	01635980
DOI	10.1145/1037949.1024414
Journal	ACM SIGOPS Operating Systems Review (OPSR)
Volume Number	38
Issue Number	5
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1975-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic optimization Phase hierarchy Reconfigurable architecture Program phase analysis and prediction Locality analysis and optimization
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Information Systems

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