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A Deployment of HPC Algorithm into Pre/Post-Processing for Industrial CFD on K-Computer
RIKEN Advanced Institute for Computational Science.
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsvetenskap och beräkningsteknik (CST). RIKEN Advanced Institute for Computational Science.ORCID-id: 0000-0002-5020-1631
RIKEN Advanced Institute for Computational Science.
RIKEN Advanced Institute for Computational Science.
Vise andre og tillknytning
2017 (engelsk)Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
Abstract [en]

Pre- and post-processing is still a major problem in industrial computational fluid dynamics (CFD). With the rapid development of computers, physical solvers are getting faster, while pre- remains slow because it's mainly a serial process. A methodology using MPI+OpenMP hybrid parallelization has been proposed to eliminate the manual work required during pre-processing for correcting the surface imperfections of CAD data. Compared to the rapidly increasing amount of data in recent years, the speed-up of visualization is insufficient. We address this limitation of post- by adapting the in-situ visualization to parallelize the post-processing using libsim (Visit) library. The performance of pre-/post- processing is investigated in this work, and we show that the pre-processing time has been reduced from several days in the conventional framework to order of minutes. The post-processing time has been reduced seconds order per frame, and approximately 30% increase of computational time was observed in vehicle aerodynamics cases. 

sted, utgiver, år, opplag, sider
2017.
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-218049OAI: oai:DiVA.org:kth-218049DiVA, id: diva2:1159094
Konferanse
The International Conference for High Performance Computing, Networking, Storage, and Analysis, Denver, Colorado USA, Nov 2017 (SC’17).
Merknad

QC 20171122

Tilgjengelig fra: 2017-11-21 Laget: 2017-11-21 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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