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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20131117T180000Z
DTEND:20131117T183000Z
LOCATION:705/707/709/711
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: To meet the needs of computational scientists to evaluate and improve the performance of their parallel, scientific applications, we present the TAU Performance System. This talk will describe a versatile tool for performance profiling, tracing, and debugging I/O and memory issues. This talk will describe some interesting problems in performance evaluation of HPC applications. The talk will introduce profiling and debugging support in TAU. TAU now includes support for tracking callstacks at the point of program failure to isolate runtime faults. The talk will briefly cover performance evaluation of parallel programs written in Python, Fortran, C++, C, and UPC, using MPI, and other runtime layers such as CUDA, C++OpenCL, SHMEM, and OpenMP using the TAU Performance System. We will demonstrate the different techniques for program instrumentation.  The talk will include support for memory, and I/O evaluation.
SUMMARY:Performance Evaluation Using the TAU Performance System
PRIORITY:3
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