C++ gets faster for scientific computing
Computers in Physics
Portable profiling and tracing for parallel, scientific applications using C++
SPDT '98 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
An Integrated Performance Visualizer for MPI/OpenMP Programs
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
The role of instrumentation and mapping in performance measurement
The role of instrumentation and mapping in performance measurement
Push-assisted migration of real-time tasks in multi-core processors
Proceedings of the 2009 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
A performance measurement infrastructure for co-array fortran
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Detecting application load imbalance on high end massively parallel systems
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
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In the past, developers of parallel science and engineering applications have been reluctant to embrace objectoriented languages due to the high abstraction penalties they incur at runtime. However, recent advances in design techniques and compiler technology have allowed C++ to emerge as a practical choice for these applications. Due to the lag in acceptance of these languages for parallel computing, there has also been a lag in commercial tool support for this application domain. This paper presents extensions made to the Vampir/GuideView (VGV) tool set to support performance analysis of object-oriented mixed MPI/OpenMP parallel applications. First, a performance data abstraction for object-oriented mixed MPI/OpenMP parallel applications is proposed. Next, the implementation of this abstraction within the VGV tool set is presented. Finally, our tool set is demonstrated by applying it to two parallel applications. VGV is the first commercial tool to provide performance analysis facilities for these types of applications.