TY  - CONF
AU  - Zhukov, Ilya
AU  - Wylie, Brian J. N.
TI  - Assessing Measurement and Analysis Performance and Scalability of Scalasca 2.0
VL  - 8374
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
M1  - FZJ-2014-03075
SN  - 978-3-642-54419-4 (print)
T2  - Lecture Notes in Computer Science
SP  - 627 - 636
PY  - 2014
AB  - The Scalasca toolset was developed to provide highly scalable performance measurement and analysis of scientific applications on current HPC platforms, including leadership systems such as IBM BlueGene/Q and more traditional Linux clusters. Its primary focus is support for C/C++/Fortran applications using MPI and OpenMP, and mixed-mode combinations thereof, offering detailed call-path profiles for each process and thread produced by runtime summarization or augmented with wait-state analysis of event traces. A new generation of Scalasca (2.0) uses the community-developed infrastructure comprising of Score-P and associated components, while continuing to provide the previous functionality. By comparing the new version of Scalasca with its predecessor, using the applications from the NPB3.3-MZ-MPI benchmark suite, we validate core functionality and assess overheads and scalability. Although adequate for general use, various aspects are identified for further improvement, particularly for larger scales.
T2  - Euro-Par 2013: Parallel Processing Workshops
CY  - 26 Aug 2013 - 27 Aug 2013, Aachen (Germany)
Y2  - 26 Aug 2013 - 27 Aug 2013
M2  - Aachen, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-642-54420-0_61
UR  - https://juser.fz-juelich.de/record/153477
ER  -