%0 Journal Article
%A Wylie, B. J. N.
%A Geimer, M.
%A Wolf, F.
%T Performance measurement and analysis of large-scale parallel applications on leadership computing systems
%J Scientific programming
%V 16
%@ 1058-9244
%C New York, NY
%I John Wiley & Sons
%M PreJuSER-393
%D 2008
%Z This work was partially funded under the German Helmholtz Association Young Investigators Program under Contract No. VNG-118. Collaboration with the developers of the XNS application from RWTH Aachen University was undertaken using resources of the John von Neumann Institute for Computing as part of the first Blue Gene/L Scaling Workshop in Julich.
%X Developers of applications with large-scale computing requirements are currently presented with a variety of high-performance systems optimised for message-passing, however, effectively exploiting the available computing resources remains a major challenge. In addition to fundamental application scalability characteristics, application and system peculiarities often only manifest at extreme scales, requiring highly scalable performance measurement and analysis tools that are convenient to incorporate in application development and tuning activities. We present our experiences with a multigrid solver benchmark and state-of-the-art real-world applications for numerical weather prediction and computational fluid dynamics, on three quite different multi-thousand-processor supercomputer systems - Cray XT3/4, MareNostrum & Blue Gene/L - using the newly-developed SCALASCA toolset to quantify and isolate a range of significant performance issues.
%K J (WoSType)
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000272226800006
%R 10.3233/SPR-2008-0255
%U https://juser.fz-juelich.de/record/393