PERFORMANCE ANALYSIS OF PARALLEL OCEAN

MODELS USING HPF AND MPI

S. Piacsek, Code 7320, Naval Research Laboratory

Stennis Space Center, MS, 39529, USA

M.Young, Code 5593, Naval Research Laboratory

Washington, DC, 20375

W.Oberpriller, LCSE, Univ. of Minnesota,

Minneapolis, MN, USA

 

The scalability and on-processor performance of two ocean

models and one ice model were investigated using HPF and

MPI for parallel tools. The ocean models were the POM

(Princeton Ocean Model, and DieCAST , using sigma- and

z-coordinates in the vertical, respectively. The ice model was

a Hibler-type with the VP (viscous-plastic) ice rheology.

For resolutions of order 1000x500x30, the HPF version

of POM matched the MPI version on 128 processors. It

did not scale as well for larger number of processors. At

64 processors HPF was twice as fast as MPI on the T3E.

tem estimates the execution time of each loop based