Analyzing parallel program executions using multiple views
Journal of Parallel and Distributed Computing - Special issue: software tools for parallel programming and visualization
SIMPLE: a performance evaluation tool environment for parallel and distributed systems
EDMCC2 Proceedings of the 2nd European conference on Distributed memory computing
Visualizing the performance of SPMD and data-parallel programs
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
Categories and context in scalable execution visualization
Journal of Parallel and Distributed Computing - Special issue on tools and methods for visualization of parallel systems and computations
Monitoring and visualization in TOPSYS
Proceedings of the workshop on performance measurement and visualization on Performance measurement and visualization of parallel systems
Recent developments and case studies in performance visualization using ParaGraph
Proceedings of the workshop on performance measurement and visualization on Performance measurement and visualization of parallel systems
Future directions in parallel performance environments
Proceedings of the workshop on performance measurement and visualization on Performance measurement and visualization of parallel systems
Multiple-domain analysis methods
PADD '93 Proceedings of the 1993 ACM/ONR workshop on Parallel and distributed debugging
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Visualizing the Performance of Parallel Programs
IEEE Software
Visualization of Do-Loop Performance
HPCN Europe '97 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Do-Loop-Surface: An Abstract Performance Data Visualization
HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume II: Networking and Tools
A toolkit for optimising parallel performance
HPCN Europe '95 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
A Toolkit for Advanced Performance Analysis
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
LAPACK Working Note 43: A Look at Scalable Dense Linear Algebra Libraries
LAPACK Working Note 43: A Look at Scalable Dense Linear Algebra Libraries
Performance visualization of parallel programs
VIS '93 Proceedings of the 4th conference on Visualization '93
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Performance visualization is the use of graphical display techniques for the analysis of performance data in order to improve understanding of complex performance phenomena. Performance visualization systems for parallel programs have been helpful in the past and they are commonly used in order to improve parallel program performance. However, despite the advances that have been made in visualizing scientific data, techniques for visualizing performance of parallel programs remain ad hoc and performace visualization becomes more difficult as the parallel system becomes more complex. Massively parallel processors can produce a huge amount of performance data and sophisticated methods for representing and displaying this data are required. The use of scientific visualization tools (e.g. AVS, Application Visualization System) to display performance data is becoming a very poewrful alternative to support performance analysis of parallel programs. One advantage of this approach is that no tool development is required and that every feature of the data visualization tool can be used for further data analysis. In this paper the Do-Loop-Surface (DLS) display, an abstract view of the performance of a particular do-loop in a program implemented using AVS, is presented as an example on how a data visualization tool can be used to define new abstract representations of performance, helping the user to analyze complex data potentially generated by a large number of processors.