MultiRace: efficient on-the-fly data race detection in multithreaded C++ programs
Data race detection is highly essential for debugging multithreaded programs and assuring their correctness. Nevertheless, there is no single universal technique capable of handling the task efficiently, since the data race detection problem is computationally hard in the general case. Thus, all cur...
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| Veröffentlicht in: | Concurrency and computation Jg. 19; H. 3; S. 327 - 340 |
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Chichester, UK
John Wiley & Sons, Ltd
10.03.2007
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| Abstract | Data race detection is highly essential for debugging multithreaded programs and assuring their correctness. Nevertheless, there is no single universal technique capable of handling the task efficiently, since the data race detection problem is computationally hard in the general case. Thus, all currently available tools, when applied to some general case program, usually result in excessive false alarms or in a large number of undetected races. Another major drawback of many currently available tools is that they are restricted, for performance reasons, to detection units of fixed size. Thus, they all suffer from the same problem—choosing a small unit might result in missing some of the data races, while choosing a large one might lead to false detection. We present a novel testing tool, called MultiRace, which combines improved versions of Djit and Lockset—two very powerful on‐the‐fly algorithms for dynamic detection of apparent data races. Both extended algorithms detect races in multithreaded programs that may execute on weak consistency systems, and may use two‐way as well as global synchronization primitives. By employing novel technologies, MultiRace adjusts its detection to the native granularity of objects and variables in the program under examination. In order to monitor all accesses to each of the shared locations, MultiRace instruments the C++ source code of the program. It lets the user fine‐tune the detection process, but otherwise is completely automatic and transparent. This paper describes the algorithms employed in MultiRace, gives highlights of its implementation issues, and suggests some optimizations. It shows that the overheads imposed by MultiRace are often much smaller (orders of magnitude) than those obtained by other existing tools. Copyright © 2006 John Wiley & Sons, Ltd. |
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| AbstractList | Data race detection is highly essential for debugging multithreaded programs and assuring their correctness. Nevertheless, there is no single universal technique capable of handling the task efficiently, since the data race detection problem is computationally hard in the general case. Thus, all currently available tools, when applied to some general case program, usually result in excessive false alarms or in a large number of undetected races. Another major drawback of many currently available tools is that they are restricted, for performance reasons, to detection units of fixed size. Thus, they all suffer from the same problem—choosing a small unit might result in missing some of the data races, while choosing a large one might lead to false detection. We present a novel testing tool, called MultiRace, which combines improved versions of Djit and Lockset—two very powerful on‐the‐fly algorithms for dynamic detection of apparent data races. Both extended algorithms detect races in multithreaded programs that may execute on weak consistency systems, and may use two‐way as well as global synchronization primitives. By employing novel technologies, MultiRace adjusts its detection to the native granularity of objects and variables in the program under examination. In order to monitor all accesses to each of the shared locations, MultiRace instruments the C++ source code of the program. It lets the user fine‐tune the detection process, but otherwise is completely automatic and transparent. This paper describes the algorithms employed in MultiRace, gives highlights of its implementation issues, and suggests some optimizations. It shows that the overheads imposed by MultiRace are often much smaller (orders of magnitude) than those obtained by other existing tools. Copyright © 2006 John Wiley & Sons, Ltd. |
| Author | Pozniansky, Eli Schuster, Assaf |
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| Cites_doi | 10.1145/68210.69224 10.1145/312203.312214 10.1145/122759.122767 10.1145/359545.359563 10.1145/174266.171370 10.1145/130616.130623 10.1145/115952.115976 10.1145/318789.318809 10.1145/379605.379687 10.1006/jpdc.1999.1574 10.1145/265924.265927 |
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| References_xml | – reference: Dinning A, Schonberg E. Detecting access anomalies in programs with critical sections. Proceedings of the ACM/ONR Workshop on Parallel and Distributed Debugging. ACM SIGPLAN Notices 1991; 26(12):85-96. – reference: Itzkovitz A, Schuster A, Zeev-Ben-Mordechai O. Towards integration of data race detection in DSM systems. Journal of Parallel and Distributed Computing (JPDC) 1999; 59(2):180-203. – reference: Savage S, Burrows M, Nelson G, Sobalvarro P, Anderson T. Eraser: A dynamic data race detector for multithreaded programs. ACM Transactions on Computer Systems 1997; 15(4):391-411. – reference: Lamport L. Time, clocks, and the ordering of events in a distributed system. Communications of the ACM 1978; 21(7):558-565. – reference: Netzer RHB, Miller BP. What are race conditions? Some issues and formalizations. ACM Letters on Programming Languages and Systems 1992; 1:74-88. – reference: Ronsse M, Bosschere KD. RecPlay: A fully integrated practical record/replay system. ACM Transactions on Computer Systems 1999; 17(2):133-152. – start-page: 175 year: 1989 end-page: 185 – start-page: 129 year: 1993 end-page: 139 – start-page: 89 year: 1988 end-page: 99 – volume: 15 start-page: 391 issue: 4 year: 1997 end-page: 411 article-title: Eraser: A dynamic data race detector for multithreaded programs publication-title: ACM Transactions on Computer Systems – start-page: 234 year: 1991 end-page: 243 – start-page: 90 year: 2001 end-page: 96 – volume: 17 start-page: 133 issue: 2 year: 1999 end-page: 152 article-title: RecPlay: A fully integrated practical record/replay system publication-title: ACM Transactions on Computer Systems – volume: 59 start-page: 180 issue: 2 year: 1999 end-page: 203 article-title: Towards integration of data race detection in DSM systems publication-title: Journal of Parallel and Distributed Computing (JPDC) – start-page: 215 year: 1999 end-page: 228 – start-page: 215 year: 1989 end-page: 226 – volume: 26 start-page: 85 issue: 12 year: 1991 end-page: 96 article-title: Detecting access anomalies in programs with critical sections publication-title: Proceedings of the ACM/ONR Workshop on Parallel and Distributed Debugging. ACM SIGPLAN Notices – year: 1990 – year: 1992 – volume: 21 start-page: 558 issue: 7 year: 1978 end-page: 565 article-title: Time, clocks, and the ordering of events in a distributed system publication-title: Communications of the ACM – volume: 1 start-page: 74 year: 1992 end-page: 88 article-title: What are race conditions? Some issues and formalizations publication-title: ACM Letters on Programming Languages and Systems – year: 1999 – ident: e_1_2_1_17_2 doi: 10.1145/68210.69224 – ident: e_1_2_1_9_2 doi: 10.1145/312203.312214 – ident: e_1_2_1_3_2 – ident: e_1_2_1_8_2 doi: 10.1145/122759.122767 – start-page: 215 volume-title: Parallel and Distributed Algorithms year: 1989 ident: e_1_2_1_16_2 – ident: e_1_2_1_14_2 doi: 10.1145/359545.359563 – volume-title: Proceedings of the USENIX Annual Technical Conference year: 1999 ident: e_1_2_1_12_2 – start-page: 215 volume-title: Proceedings of the 3rd Symposium on Operating Systems Design and Implementation (OSDI) year: 1999 ident: e_1_2_1_13_2 – ident: e_1_2_1_6_2 doi: 10.1145/174266.171370 – ident: e_1_2_1_2_2 doi: 10.1145/130616.130623 – ident: e_1_2_1_7_2 doi: 10.1145/115952.115976 – ident: e_1_2_1_4_2 doi: 10.1145/318789.318809 – ident: e_1_2_1_5_2 doi: 10.1145/379605.379687 – ident: e_1_2_1_15_2 – ident: e_1_2_1_11_2 doi: 10.1006/jpdc.1999.1574 – ident: e_1_2_1_10_2 doi: 10.1145/265924.265927 |
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| SubjectTerms | concurrency data race instrumentation multithreading synchronization |
| Title | MultiRace: efficient on-the-fly data race detection in multithreaded C++ programs |
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