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A case study in top-down performance estimation for a large-scale parallel application

11 years 7 months ago
A case study in top-down performance estimation for a large-scale parallel application
This work presents a general methodology for estimating the performance of an HPC workload when running on a future hardware architecture. Further, it demonstrates the methodology by estimating the performance of a significant scientific application — the Gyrokinetic Toroidal Code (GTC) — when executing on Sun’s proposed next-generation petascale computer architecture. For GTC, we identify the important phases of the iteration and perform low-level analysis that includes instruction tracing and component simulations of processor and memory systems. Lowlevel analysis is complemented with scalability estimates based on modeling MPI, OpenMP and I/O activity in the code. The work’s approach permits accurate end-to-end performance projections from the microarchitecture level to the petascale. Categories and Subject Descriptors C.4 [Performance of sys
Ilya Sharapov, Robert Kroeger, Guy Delamarter, Raz
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where PPOPP
Authors Ilya Sharapov, Robert Kroeger, Guy Delamarter, Razvan Cheveresan, Matthew Ramsay
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