Visual programming of MPI applications: Debugging, performance analysis, and performance prediction
نویسندگان
چکیده
منابع مشابه
Visual programming of MPI applications: Debugging, performance analysis, and performance prediction
In our research, we try to simplify the development of parallel applications in the area of the scientific and engineering computations for distributed memory systems. The difficulties of this task lie not only in programming itself, but also in a complexity of supportive activities like debugging and performance analyses. We are developing a unifying framework where it is possible to create pa...
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We present the design and implementation of a debugging tool that displays a message-passing graph of the execution of an MPI application. Parts of the graph can be hidden or highlighted based on the stack trace, calling process or communicator of MPI calls. The tool incorporates several features enabling developers to explicitly control the ordering of message-passing events during the executi...
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In the eld of high performance computing, massively parallel processing systems (MPPs) get more and more important. A rising number of complex applications is parallelized for execution on these machines. Still a signiicant portion of the time needed for parallelization is spent for the process of debugging and performance tuning. A main reason for this fact is the absence of adequate tools sup...
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Title: Infrastructure for Performance Tuning Mpi Applications Infrastructure for Performance Tuning Mpi Applications
An abstract of the thesis of Kathryn Marie Mohror for the Master of Science in Computer Science presented November 13, 2003. Title: Infrastructure For Performance Tuning MPI Applications Clusters of workstations are becoming increasingly popular as a low-budget alternative for supercomputing power. In these systems, message-passing is often used to allow the separate nodes to act as a single co...
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ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2014
ISSN: 1820-0214,2406-1018
DOI: 10.2298/csis131204052b