High Performance Computing Systems and Applications: 23rd by Dustin Bespalko, Andrew Pollard, Mesbah Uddin (auth.),

By Dustin Bespalko, Andrew Pollard, Mesbah Uddin (auth.), Douglas J. K. Mewhort, Natalie M. Cann, Gary W. Slater, Thomas J. Naughton (eds.)

This e-book constitutes the completely refereed post-conference lawsuits of the twenty third overseas Symposium on excessive functionality Computing platforms and purposes, HPCS 2009, held in Kingston, Canada, in June 2009. The 29 revised complete papers awarded - totally revised to include reviewers' reviews and discussions on the symposium - have been rigorously chosen for inclusion within the ebook. The papers are equipped in topical sections on turbulence, fabrics and lifestyles sciences, bringing HPC to undefined, computing technological know-how, arithmetic, and facts, in addition to HPC platforms and strategies.

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Extra resources for High Performance Computing Systems and Applications: 23rd International Symposium, HPCS 2009, Kingston, ON, Canada, June 14-17, 2009, Revised Selected Papers

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It is concluded that using 600 time steps is sufficient for simulations with this mesh density. However, additional time steps may be required for finer meshes. 4 Passive Left Ventricle Filling Results Principal stretches for the current simulations, presented in Fig. 6, have comparable trends but slightly larger magnitudes than the previous measurements of Omens et al. [18]. 80 g for the previous geometry. However, the most significant factor in the differences in magnitudes between the current and previous results may be the enforcement of the assumption that the myocardium is a slightly compressible material.

The results of the calculations of SUmax are presented in Table 2. Table 1. 12 Table 2. G. Doyle, S. Tavoularis, and Y. Bourgault We now provide some insight on how the parallel fraction P varies for these FSI simulations. Table 1 shows that, for our FSI simulations, the solution of the solid part of the model requires a small fraction of the total computational time, while the fluid solver uses by far the largest portion of this time. This comes from the fact that meshes for simulating flows need to be much finer than meshes used in structural mechanics, which can be coarse and fixed, as we will show in the following.

10 prism mesh elements were allocated across the gap regions between the blade tip and the rotor casing. 7 Million cells was selected as combining a high accuracy and a relatively low computing time [5]. 5 GHz. Because the maximum allowable thread number for each user of HPCVL is limited to 20, the selected test cases had numbers of threads N within the range between 5 and 20. Figure 3 shows the parallel performance of FLUENT in a Sunfire cluster in terms of speedup and efficiency. The speedup is defined as the ratio of the wall clock time for N = 5 and the wall clock time for N > 5 (it is noted that the usual definition of speedup is with respect to one thread, but single-thread simulations were not performed in this work), whereas the efficiency is defined as the ratio of the speedup and N.

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