What are race conditions?: Some issues and formalizations
ACM Letters on Programming Languages and Systems (LOPLAS)
Eraser: a dynamic data race detector for multithreaded programs
ACM Transactions on Computer Systems (TOCS)
Toward integration of data race detection in DSM systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Efficient and precise datarace detection for multithreaded object-oriented programs
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
Runtime Checking of Multithreaded Applications with Visual Threads
Proceedings of the 7th International SPIN Workshop on SPIN Model Checking and Software Verification
Counterexample-Guided Abstraction Refinement
CAV '00 Proceedings of the 12th International Conference on Computer Aided Verification
Hybrid dynamic data race detection
Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming
Efficient On-the-Fly Data Race Detection in Multithreaded C++ Programs
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
RaceTrack: efficient detection of data race conditions via adaptive tracking
Proceedings of the twentieth ACM symposium on Operating systems principles
Unit testing for multi-threaded Java programs
Proceedings of the 7th Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging
MPI correctness checking for OpenMP/MPI applications
International Journal of Parallel Programming
Estimating the Empirical Cost Function of Routines with Dynamic Workloads
Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization
| Hi-index | 0.00 |
Due to increasing demands in processing power on the one hand, but the physical limit on CPU clock speed on the other hand, multi-threaded programming is becoming more important in current applications. Unfortunately, multi-threaded programs are prone to programming mistakes that result in hard to find defects, mainly race-conditions and deadlocks. The need for tools that help finding these faults is immanent, but currently available tools are either difficult to use because of the need for annotations, unable to cope with more than a few 10 kLOC, or issue too many false warnings. This paper describes experiments with the freely available tool Helgrind and results obtained by using it for debugging a server application comprising 500 kLOC. We present improvements to the runtime analysis of C++ programs that result in a dramatic reduction of false warnings.