Proceedings Article10.1145/1188455.1188668
Application development using eclipse and the parallel tools platform
Greg Watson,Craig E. Rasmussen,Beth R. Tibbitts +2 more
- 11 Nov 2006
- pp 204
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TL;DR: This tutorial aims to introduce participants to the Eclipse platform and provide hands-on experience in developing and debugging parallel applications using Eclipse and PTP with C, Fortran, and MPI.
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Abstract: The Eclipse Parallel Tools Platform (PTP) is an Eclipse Foundation Technology Project (http://eclipse.org/ptp) that allows parallel tools to be integrated into the Eclipse environment.Eclipse offers many features you'd expect from a commercial quality IDE: a syntax-highlighting editor, incremental code compilation, a source-level debugger, support for source control systems such as CVS and Subversion, code refactoring, and support for multiple languages, including C, C++, and Fortran.PTP provides a highly integrated environment designed for parallel application development. It provides a portable open-source IDE capable of supporting a wide range of parallel architectures and runtime systems; a scalable parallel debugger; support for the integration of a wide range of parallel tools; and an environment that simplifies the end-user interaction with parallel systems.This tutorial aims to introduce participants to the Eclipse platform and provide hands-on experience in developing and debugging parallel applications using Eclipse and PTP with C, Fortran, and MPI.
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Citations
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TL;DR: The parallel Bees Al algorithm technique is proposed as a new approach for optimizing the last results for the Bees Algorithm to reduce the required time to get a solution with faster results accuracy than original Bees Algorithms.
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On the Need for a Consortium of Capability Centers
William Gropp,Marc Snir +1 more
- 01 Nov 2009
TL;DR: A consortium of HPC centers are proposed to collaborate on raising both the capability and the quality of the software for HPC systems.
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Analyzing Concurrent Programs Title for Potential Programming Errors
Qichang Chen,Liqiang Wang,Ping Guo,He Huang +3 more
- 01 Jan 2011
TL;DR: The major concurrent programming models including multithreaded programming on shared memory and message passing programming on distributed memory are introduced and the state-of-the-art research achievements on detecting concurrency errors are reviewed.
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