Parallel Ocean Program (POP)

2011 ◽  
pp. 1416-1416 ◽  
Author(s):  
Bruce Leasure ◽  
David J. Kuck ◽  
Sergei Gorlatch ◽  
Murray Cole ◽  
Gregory R. Watson ◽  
...  
Keyword(s):  
Parallel Ocean Program

scholarly journals A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

2014 ◽  
Vol 7 (1) ◽  
pp. 267-281 ◽  
Author(s):  
B. van Werkhoven ◽  
J. Maassen ◽  
M. Kliphuis ◽  
H. A. Dijkstra ◽  
S. E. Brunnabend ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Load Balancing ◽  
Ocean Circulation ◽  
Graphics Processing Units ◽  
Block Partitioning ◽  
Model Code ◽  
Graphics Processing ◽  
Computing Approach ◽  
Parallel Ocean Program

Abstract. The Parallel Ocean Program (POP) is used in many strongly eddying ocean circulation simulations. Ideally it would be desirable to be able to do thousand-year-long simulations, but the current performance of POP prohibits these types of simulations. In this work, using a new distributed computing approach, two methods to improve the performance of POP are presented. The first is a block-partitioning scheme for the optimization of the load balancing of POP such that it can be run efficiently in a multi-platform setting. The second is the implementation of part of the POP model code on graphics processing units (GPUs). We show that the combination of both innovations also leads to a substantial performance increase when running POP simultaneously over multiple computational platforms.

scholarly journals A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

2013 ◽  
Vol 6 (3) ◽  
pp. 4705-4744 ◽  
Author(s):  
B. van Werkhoven ◽  
J. Maassen ◽  
M. Kliphuis ◽  
H. A. Dijkstra ◽  
S. E. Brunnabend ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Load Balancing ◽  
Ocean Circulation ◽  
Graphics Processing Units ◽  
Block Partitioning ◽  
Model Code ◽  
Graphics Processing ◽  
Computing Approach ◽  
Parallel Ocean Program

Abstract. The Parallel Ocean Program (POP) is used in many strongly eddying ocean circulation simulations. Ideally one would like to do thousand-year long simulations, but the current performance of POP prohibits this type of simulations. In this work, using a new distributed computing approach, two innovations to improve the performance of POP are presented. The first is a new block partitioning scheme for the optimization of the load balancing of POP such that it can be run efficiently in a multi-platform setting. The second is an implementation of part of the POP model code on Graphics Processing Units. We show that the combination of both innovations leads to a substantial performance increase also when running POP simultaneously over multiple computational platforms.

Documentation for the Parallel Ocean Program

2001 ◽  
Author(s):  
Mathew E. Maltrud ◽  
Richard D. Smith ◽  
Julie L. McClean
Keyword(s):  
Parallel Ocean Program

Practical performance portability in the Parallel Ocean Program (POP)

2005 ◽  
Vol 17 (10) ◽  
pp. 1317-1327 ◽  
Author(s):  
P. W. Jones ◽  
P. H. Worley ◽  
Y. Yoshida ◽  
J. B. White ◽  
J. Levesque
Keyword(s):  
Performance Portability ◽  
Practical Performance ◽  
Parallel Ocean Program
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