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Computational Fluid and Particle Dynamics Simulations for Respiratory System: Runtime Optimization on an Arm Cluster
dc.contributor.author | Garcia-Gasulla, Marta |
dc.contributor.author | Josep-Fabrego, Marc |
dc.contributor.author | Eguzkitza, Beatriz |
dc.contributor.author | Mantovani, Filippo |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2018-08-23T08:57:15Z |
dc.date.available | 2018-08-23T08:57:15Z |
dc.date.issued | 2018-08-13 |
dc.identifier.citation | Garcia-Gasulla, M. [et al.]. Computational Fluid and Particle Dynamics Simulations for Respiratory System: Runtime Optimization on an Arm Cluster. A: "ICPP '18 Proceedings of the 47th International Conference on Parallel Processing Companion". Association for Computing Machinery (ACM), 2018. |
dc.identifier.isbn | 978-1-4503-6523-9 |
dc.identifier.uri | http://hdl.handle.net/2117/120570 |
dc.description.abstract | Computational fluid and particle dynamics simulations (CFPD) are of paramount importance for studying and improving drug effectiveness. Computational requirements of CFPD codes involves high-performance computing (HPC) resources. For these reasons we introduce and evaluate in this paper system software techniques for improving performance and tolerate load imbalance on a state-of-the-art production CFPD code. We demonstrate benefits of these techniques on both Intel- and Arm-based HPC clusters showing the importance of using mechanisms applied at runtime to improve the performance independently of the underlying architecture. We run a real CFPD simulation of particle tracking on the human respiratory system, showing performance improvements of up to 2X, keeping the computational resources constant. |
dc.description.sponsorship | This work is partially supported by the Spanish Government (SEV-2015-0493), by the Spanish Ministry of Science and Technology project (TIN2015-65316-P), by the Generalitat de Catalunya (2017-SGR-1414), and by the European Mont-Blanc projects (288777, 610402 and 671697). |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Computer software |
dc.subject.lcsh | Parallel programming (Computer science) |
dc.subject.other | Computing methodologies |
dc.subject.other | Parallel programming languages |
dc.subject.other | Applied computing |
dc.subject.other | Systems biology |
dc.subject.other | Computer systems organization |
dc.subject.other | Multicore architectures |
dc.subject.other | Hardware |
dc.subject.other | Emerging architectures |
dc.title | Computational Fluid and Particle Dynamics Simulations for Respiratory System: Runtime Optimization on an Arm Cluster |
dc.type | Conference lecture |
dc.subject.lemac | Supercomputadors |
dc.subject.lemac | Programació en paral·lel (Informàtica) |
dc.identifier.doi | 10.1145/3229710.3229736 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://dl.acm.org/citation.cfm?id=3229736 |
dc.rights.access | Open Access |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/288777/EU/Mont-Blanc, European scalable and power efficient HPC platform based on low-power embedded technology/MONT-BLANC |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/610402/EU/Mont-Blanc 2, European scalable and power efficient HPC platform based on low-power embedded technology/MONT-BLANC 2 |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/671697/EU/Mont-Blanc 3, European scalable and power efficient HPC platform based on low-power embedded technology/Mont-Blanc 3 |
local.citation.publicationName | ICPP '18 Proceedings of the 47th International Conference on Parallel Processing Companion |