Asynchronous PGAS runtime for Myrinet networks

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dc.contributor	Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.contributor.author	Farreras Esclusa, Montserrat
dc.contributor.author	Almasi, George
dc.date	2010
dc.identifier.citation	Farreras, M., Almasi, G. Asynchronous PGAS runtime for Myrinet networks. A: Conference on Partitioned Global Address Space Programming Model. "Proceedings of the fourth Conference on Partitioned Global Address Space (PGAS) Programming Models: October 12-15, 2010: Columbia University, Morningside Heights, Campus New York, NY, USA". New York: Association for Computing Machinery (ACM), 2010, p. 1-10.
dc.identifier.citation	978-1-4503-0461-0
dc.identifier.citation	10.1145/2020373.2020377
dc.identifier.uri	http://hdl.handle.net/2117/117538
dc.language.iso	eng
dc.publisher	Association for Computing Machinery (ACM)
dc.relation	http://dl.acm.org/citation.cfm?id=2020377
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Llenguatges de programació
dc.subject	Programming languages (Electronic computers)
dc.subject	PGAS
dc.subject	Active message
dc.subject	Runtime optimization
dc.subject	One-sided communication
dc.subject	Myrinet
dc.subject	Llenguatges de programació
dc.title	Asynchronous PGAS runtime for Myrinet networks
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	PGAS languages aim to enhance productivity for large scale systems. The IBM Asynchronous PGAS runtime (APGAS) supports various high productivity programming languages including UPC, X10 and CAF. The runtime has been designed for scalability and performance portability, and it includes optimized implementations for LAPI and Blue Gene DCMF communication sub systems. This paper presents an optimized implementation of the IBM APGAS runtime for Myrinet networks, on top of the MX communication library. It explains the challenges of implementing a one-sided communication model (APGAS) on top of a two-sided communication API such as MX. We show that our implementation outperforms the Berkeley GASNet runtime in terms of latency and bandwidth. We also demonstrate scalability of various HPC benchmarks up to 1024 processes.
dc.description.abstract	Peer Reviewed

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