A bibliography of parallel debuggers, 1993 edition
PADD '93 Proceedings of the 1993 ACM/ONR workshop on Parallel and distributed debugging
An annotated bibliography of interactive program steering
ACM SIGPLAN Notices
Event and state-based debugging in TAU: a prototype
SPDT '96 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
Event graph visualization for debugging large applications
SPDT '96 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
A graphical development and debugging environment for parallel programs
Parallel Computing - Special issue: distributed and parallel systems: environments and tools
Debugging with the MAD environment
Parallel Computing - Special double issue on environment and tools for parallel scientific computing
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Dynamic software testing of MPI applications with umpire
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Visualizing the Performance of Parallel Programs
IEEE Software
Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Automatic performance analysis of hybrid MPI/OpenMP applications
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Evolutions in parallel distributed and network-based processing
Automatic Phase Detection and Structure Extraction of MPI Applications
International Journal of High Performance Computing Applications
Automatic structure extraction from MPI applications tracefiles
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Traces generation to simulate large-scale distributed applications
Proceedings of the Winter Simulation Conference
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Large-scale high-performance computing systems pose a tough obstacle for today's program analysis tools. Their demands in computational performance and memory capacity for processing program analysis data exceed the capabilities of standard workstations and traditional analysis tools. A comparison of the sophisticated approaches of Vampir NG (VNG), the Debugging Wizard DeWiz and the correctness-checking tool MARMOT provides novel ideas for scalable parallel program analysis. While VNG exploits the power of cluster architectures for near real-time performance analysis, DeWiz utilises distributed computing infrastructures for distinct analysis activities. MARMOT combines automatic runtime and partially distributed analysis.