SCIRun: a scientific programming environment for computational steering
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
The SCIRun computational steering software system
Modern software tools for scientific computing
Portable profiling and tracing for parallel, scientific applications using C++
SPDT '98 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
Performance technology for complex parallel and distributed systems
Distributed and parallel systems
A tool framework for static and dynamic analysis of object-oriented software with templates
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Computational Steering Software Systems and Strategies
IEEE Computational Science & Engineering
Uintah: A Massively Parallel Problem Solving Environment
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
The scirun problem solving environment and computational steering software system
The scirun problem solving environment and computational steering software system
The role of instrumentation and mapping in performance measurement
The role of instrumentation and mapping in performance measurement
Advances in the TAU performance system
Performance analysis and grid computing
Building problem-solving environments with the Arches framework
Journal of Systems and Software
Performance instrumentation and measurement for terascale systems
ICCS'03 Proceedings of the 2003 international conference on Computational science
Grid computing: experiment management, tool integration, and scientific workflows
Grid computing: experiment management, tool integration, and scientific workflows
A component-based approach to integrated modeling in the geosciences: The design of CSDMS
Computers & Geosciences
Automated root cause isolation of performance regressions during software development
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
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Technology for empirical performance evaluation of parallel programs is driven by the increasing complexity of high performance computing environments and programming methodologies. This paper describes the integration of the TAU and XPARE tools in the Uintah computational framework. Performance mapping techniques in TAU relate low-level performance data to higher levels of abstraction. XPARE is used for specifying regression testing benchmarks that are evaluated with each periodically scheduled testing trial. This provides a historical panorama of the evolution of application performance. The paper concludes with a scalability study that shows the benefits of integrating performance technology in the development of large-scale parallel applications.