NDLI: A customized GPU acceleration of the princeton ocean model

Content Provider	IEEE Xplore Digital Library
Author	Shizhen Xu Xiaomeng Huang Yan Zhang Yong Hu Guangwen Yang
Copyright Year	2014
Description	Author affiliation: Minist. of Educ. Key Lab. for Earth Syst. Modeling, Tsinghua Univ., Beijing, China (Shizhen Xu; Xiaomeng Huang; Yan Zhang; Yong Hu; Guangwen Yang)
Abstract	While GPU is becoming a compelling acceleration solution for a series of scientific applications, most existing work on climate models only achieved limited speedup. This is due to partial porting of the huge code and the memory bound inherence of these models. In this work, we design and implement a customized GPU-based acceleration of the Princeton Ocean Model (gpuPOM) based on mpiPOM, which is one of the parallel versions of the Princeton Ocean Model. Based on Nvidia's state-of-the-art GPU architectures (K20X and K40m), we rewrite the full mpiPOM model from the original Fortran version into the CUDA-C version. We present the GPU acceleration methods used in the gpuPOM, especially the techniques to ease its memory bound problem through better use of GPU's memory hierarchy. The experimental results indicate that the gpuPOM with one K40m GPU achieves from 6.3-fold to 16.7-fold speedup over different Intel multi-core CPUs and one K20X GPU achieves from 5.8-fold to 15.5-fold speedup.
Sponsorship	IEEE Comput. Soc.
Starting Page	192
Ending Page	193
File Size	5086263
Page Count	2
File Format	PDF
ISBN	9781479936090
ISSN	2160052X
DOI	10.1109/ASAP.2014.6868661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-18
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Algorithms Meteorology Optimization Computational modeling Acceleration Instruction sets
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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