BigFoot: static check placement for dynamic race detection

Author:

Rhodes Dustin1,Flanagan Cormac1,Freund Stephen N.2

Affiliation:

1. University of California at Santa Cruz, USA

2. Williams College, USA

Abstract

Precise dynamic data race detectors provide strong correctness guarantees but have high overheads because they generally keep analysis state in a separate shadow location for each heap memory location, and they check (and potentially update) the corresponding shadow location on each heap access. The BigFoot dynamic data race detector uses a combination of static and dynamic analysis techniques to coalesce checks and compress shadow locations. With BigFoot, multiple accesses to an object or array often induce a single coalesced check that manipulates a single compressed shadow location, resulting in a performance improvement over FastTrack of 61%.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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1. V erified FT;Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming;2018-02-10

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