LogP: towards a realistic model of parallel computation
PPOPP '93 Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice of parallel programming
Proceedings of the seventh annual ACM symposium on Parallel algorithms and architectures
Predictive analysis of a wavefront application using LogGP
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
A staggered grid, Lagrangian-Eulerian remap code for 3-D MHD simulations
Journal of Computational Physics
Optimization principles and application performance evaluation of a multithreaded GPU using CUDA
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
WARPP: a toolkit for simulating high-performance parallel scientific codes
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
Performance analysis of the OP2 framework on many-core architectures
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
The structural simulation toolkit
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 1st international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 10)
Predictive analysis of a hydrodynamics application on large-scale CMP clusters
Computer Science - Research and Development
Predictive modeling and analysis of OP2 on distributed memory GPU clusters
Proceedings of the second international workshop on Performance modeling, benchmarking and simulation of high performance computing systems
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Performance modelling is an important tool utilised by the High Performance Computing industry to accurately predict the run-time of science applications on a variety of different architectures. Performance models aid in procurement decisions and help to highlight areas for possible code optimisations. This paper presents a performance model for a magnetohydrodynamics physics application, Lare. We demonstrate that this model is capable of accurately predicting the run-time of Lare across multiple platforms with an accuracy of 90% (for both strong and weak scaled problems). We then utilise this model to evaluate the performance of future optimisations. The model is generated using SST/macro, the machine level component of the Structural Simulation Toolkit (SST) from Sandia National Laboratories, and is validated on both a commodity cluster located at the University of Warwick and a large scale capability resource located at Lawrence Livermore National Laboratory.