Predictive performance and scalability modeling of a large-scale application
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Performance modelling of magnetohydrodynamics codes
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
Optimisation of patch distribution strategies for AMR applications
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
Performance modelling of magnetohydrodynamics codes
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
Optimisation of patch distribution strategies for AMR applications
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
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This paper introduces an industry strength, multi-purpose, benchmark: Shamrock. Developed at the Atomic Weapons Establishment (AWE), Shamrock is a two dimensional (2D) structured hydrocode; one of its aims is to assess the impacts of a change in hardware, and (in conjunction with a larger HPC Benchmark Suite) to provide guidance in procurement of future systems. A suitable test problem is described and executed on a local, high-end, workstation for a range of compilers and MPI implementations. Based on these observations, specific configurations are subsequently built and executed on a selection of HPC architectures, including Intel's Nehalem and Westmere micro architectures, IBM's POWER-5, POWER-6, POWER-7, BlueGene/L, BlueGene/P, and AMD's Opteron chip set. Comparisons are made between these architectures, for the Shamrock benchmark, and relative compute resources are specified that deliver similar time to solution, along with their associated power budgets. Additionally, performance comparisons are made for a port of the benchmark to a Nehalem based cluster, accelerated with Tesla C1060 GPUs, with details of the port, and extrapolations to possible performance of the GPU.