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Monday, October 13 • 2:30pm - 3:00pm
Runtime Analysis of Parallel Applications for Industrial Software Development - Daniel Becker, Siemens & Markus Geimer, Jülich Supercomputing Centre

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Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-established techniques to understand, debug, engineer and optimize codes. While many tools are available to capture profiles and traces, these tools are often difficult to use in industrial contexts. Tool development often started with sequential applications in mind to transition to parallelism not until later, resulting in improper feature sets and usability. In contrast, parallel tools are often targeted towards HPC with a strong focus on MPI and OpenMP. As this turns these tools less suitable for codes using alternative threading models (POSIX, Qt, and ACE), this talk presents extensions to the open-source profiling and tracing tools Score-P and Scalasca. Score-P captures detailed program execution data allowing Scalasca to perform a sophisticated performance and wait-state analysis.


Daniel Becker

Daniel Becker received his Ph.D. degree from RWTH Aachen University in 2009. He completed his Ph.D. project at the Jülich Supercomputing Centre in the area of scalable performance analysis tools. His career path alsoincludes research stays at academic and industrial organizations... Read More →

Markus Geimer

Senior scientist, Forschungszentrum Jülich GmbH

Monday October 13, 2014 2:30pm - 3:00pm CEST
Room 2

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