sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Optimization of an Ocean Model Using Performance Tools

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Oriol Tintó Prims, Miguel Castrillo, Harald Servat, German Llort, Kim Serradell, Oriol Mula-Valls, Francisco Doblas-Reyes

ROOM:Level 4 - Lobby

ABSTRACT:

Do the model developers know about the computational performance of the models they are developing? The landscape of the computational science has a lot of examples of scientists using huge amounts of computational resources to run models without worrying too much about computational performance. The proper use of these resources has been too often the last of the modellers’ concerns and therefore it is not strange at all if someone that finally decides to study the computational performance of his model finds out that it is far from being good. This is not surprising at all when one realizes that scientific applications are usually old and usually based on inherited older code developed by scientists without a proper background in computer science. In this work, we would like to show that a performance analysis of scientific models is useful and, without any doubt, is worth.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Oriol Tintó Prims - Barcelona Supercomputing Center

Miguel Castrillo - Barcelona Supercomputing Center

Harald Servat - Barcelona Supercomputing Center

German Llort - Barcelona Supercomputing Center

Kim Serradell - Barcelona Supercomputing Center

Oriol Mula-Valls - Catalan Institute of Climate Sciences

Francisco Doblas-Reyes - Barcelona Supercomputing Center

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