DocumentCode
2746414
Title
Extending path profiling across loop backedges and procedure boundaries
Author
Tallam, Sriraman ; Zhang, Xiangyu ; Gupta, Rajiv
Author_Institution
Dept. of Comput. Sci., Arizona Univ., Tucson, AZ, USA
fYear
2004
fDate
20-24 March 2004
Firstpage
251
Lastpage
262
Abstract
Since their introduction, path profiles have been used to guide the application of aggressive code optimizations and performing instruction scheduling. However, for optimization and scheduling, it is often desirable to obtain frequency counts of paths that extend across loop iterations and cross procedure boundaries. These longer paths, referred to as interesting paths, account for over 75% of the flow in a subset of SPEC benchmarks. Although the frequency counts of interesting paths can be estimated from path profiles, the degree of imprecision of these estimates is very high. We extend Ball Larus (BL) paths to create slightly longer overlapping paths and develop an instrumentation algorithm to collect their frequencies. While these paths are slightly longer than BL paths, they enable very precise estimation of frequencies of potentially much longer interesting paths. Our experiments show that the average cost of collecting frequencies of overlapping paths is 86.8%, which is 4.2 times that of BL paths. However, while the average imprecision in estimated total flow of interesting paths derived from BL path frequencies ranges from -38 % to +138 %, the average imprecision inflow estimates derived from overlapping path frequencies ranges only from -4% to +8%.
Keywords
instruction sets; optimising compilers; program control structures; scheduling; Ball Larus paths; SPEC benchmarks; code optimizations; imprecision degree; instruction scheduling; instrumentation algorithm; loop backedges; loop iterations; overlapping path profiles; procedure boundaries; profile guided optimization; Application software; Arithmetic; Computer science; Costs; Frequency estimation; Instruments; Processor scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Code Generation and Optimization, 2004. CGO 2004. International Symposium on
Print_ISBN
0-7695-2102-9
Type
conf
DOI
10.1109/CGO.2004.1281679
Filename
1281679
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