Copernicus Gesellschaft mbH;Katlenburg-Lindau: Copernicus GmbH
摘要:
摘要： Graphics processing units (GPUs) are an attractive solution in many scientific applications due to their high performance. However, most existing GPU conversions of climate models use GPUs for only a few computationally intensive regions. In the present study, we redesign the mpiPOM (a parallel version of the Princeton Ocean Model) with GPUs. Specifically, we first convert the model from its original Fortran form to a new Compute Unified Device Architecture C (CUDA-C) code, then we optimize the code on each of the GPUs, the communications between the GPUs, and the I / O between the GPUs and the central processing units (CPUs). We show that the performance of the new model on a workstation containing four GPUs is comparable to that on a powerful cluster with 408 standard CPU cores, and it reduces the energy consumption by a factor of 6.8. 出版者： Katlenburg-Lindau: Copernicus GmbH 出版日期： 2015-09-09 出處： Geoscientific Model Development, 2015-09, Vol.8 (9), p.2815-2827 資源來源： Publicly Available Content Database (Proquest) 版權： COPYRIGHT 2015 Copernicus GmbH 版權： Copyright Copernicus GmbH 2015 版權： 2015. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1991-9603 識別號： ISSN: 1991-959X 識別號： ISSN: 1991-962X 識別號： EISSN: 1991-9603 識別號： EISSN: 1991-962X 識別號： DOI: 10.5194/gmd-8-2815-2015
