A relational approach to monitoring complex systems
ACM Transactions on Computer Systems (TOCS)
Graphical representations of program performance on hypercube message-passing multiprocessors
Graphical representations of program performance on hypercube message-passing multiprocessors
Visualizing the Performance of Parallel Programs
IEEE Software
IPS-2: The Second Generation of a Parallel Program Measurement System
IEEE Transactions on Parallel and Distributed Systems
Sigma II: A Tool Kit for Building Parallelizing Compilers and Performance Analysis Systems
Proceedings of the IFIP WG 10.3 Workshop on Programming Environments for Parallel Computing
On Using Object-Oriented Parallel Programming to Build Distributed Algebraic Abstractions
CONPAR '92/ VAPP V Proceedings of the Second Joint International Conference on Vector and Parallel Processing: Parallel Processing
Performance observability
Execution analysis of DSM applications: a distributed and scalable approach
SPDT '96 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
Application-Dependent Dynamic Monitoring of Distributed and Parallel Systems
IEEE Transactions on Parallel and Distributed Systems
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
A visual environment for specifying global reduction operations
International Journal of High Performance Computing and Networking
Performance visualization for large-scale computing systems: a literature review
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
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In this paper we introduce a new model for the design of performance analysis and visualization tools. The system integrates static code analysis, relational database designs and a spreadsheet model of interactive programming. This system provides a general methodology for visualizing parallel program executions by providing correlation to the source program, a convenient method for rapidly developing new visualizations of the program and a framework for performance studies.The basic semantics of this model are described and example applications of visualizing the execution of two different parallel programs are considered.