libWater: heterogeneous distributed computing made easy

dc.contributor.authorGrasso, Ivan
dc.contributor.authorPellegrini, Simone
dc.contributor.authorCosenza, Biagio
dc.contributor.authorFahringer, Thomas
dc.date.accessioned2017-10-26T10:38:39Z
dc.date.available2017-10-26T10:38:39Z
dc.date.issued2013
dc.description.abstractClusters of heterogeneous nodes composed of multi-core CPUs and GPUs are increasingly being used for High Performance Computing (HPC) due to the benefits in peak performance and energy efficiency. In order to fully harvest the computational capabilities of such architectures, application developers often employ a combination of different parallel programming paradigms (e.g. OpenCL, CUDA, MPI and OpenMP), also known in literature as hybrid programming, which makes application development very challenging. Furthermore, these languages offer limited support to orchestrate data and computations for heterogeneous systems. In this paper, we present libWater, a uniform approach for programming distributed heterogeneous computing systems. It consists of a simple interface, compliant with the OpenCL programming model, and a runtime system which extends the capabilities of OpenCL beyond single platforms and single compute nodes. libWater enhances the OpenCL event system by enabling inter-context and inter-node device synchronization. Furthermore, libWater's runtime system uses dependency information enforced by event synchronization to dynamically build a DAG of enqueued commands which enables a class of advanced runtime optimizations. The detection and optimization of collective communication patterns is an example which, as shown by experimental results, improves the efficiency of the libWater runtime system for several application codes.en
dc.identifier.isbn978-1-4503-2130-3
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7023
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6344
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc004 Datenverarbeitung; Informatik
dc.subject.otherdistributed computingen
dc.subject.otherheterogeneous computingen
dc.subject.otheropenclen
dc.subject.othermpien
dc.subject.otherprogramming modelen
dc.subject.otherruntime systemen
dc.titlelibWater: heterogeneous distributed computing made easyen
dc.typeConference Objecten
dc.type.versionacceptedVersionen
dcterms.bibliographicCitation.doi10.1145/2464996.2465008
dcterms.bibliographicCitation.originalpublishernameAssociation for Computing Machinery (ACM)en
dcterms.bibliographicCitation.originalpublisherplaceNew York, NYen
dcterms.bibliographicCitation.pageend172
dcterms.bibliographicCitation.pagestart161
dcterms.bibliographicCitation.proceedingstitleProceedings of the 27th International ACM Conference on International Conference on Supercomputingen
tub.accessrights.dnbdomain
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Technische Informatik und Mikroelektronik::FG Architektur eingebetteter Systemede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Architektur eingebetteter Systemede
tub.affiliation.instituteInst. Technische Informatik und Mikroelektronikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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