In the recent years, the Grid has become the most progressive IT trend that has enabled the high-performance computing for a number of scientific domains. The large-scale infrastructures (such as Distributed European Infrastructure for Supercomputing Applications setup in the frame of DEISA or Remote Instrumentation Infrastructure deployed within the DORII EU project) enabled the Grid technology on practice for many application areas of e-Science and have served as a testbed for performing challenging experiments, often involving the results acquired from complex technical and laboratory equipments. However, as the Grid technology has matured, the attention is largely shifted towards optimization of Grid resource utilization by the applications. The performance analysis module setup within the DORII project offers scientific applications an advanced tool set for the optimization of performance characteristics on the Grid. The performance analysis tools adapted and techniques elaborated within DORII for parallel applications, implemented for example by means of Message-Passing Interface (MPI), are presented in this chapter and might be of great interest for the optimization of a wide variety of parallel scientific applications.
CITATION STYLE
Cheptsov, A., & Koller, B. (2012). Performance analysis framework for parallel application support on the remote instrumentation grid. In Remote Instrumentation for eScience and Related Aspects (pp. 105–115). Springer New York. https://doi.org/10.1007/978-1-4614-0508-5_7
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