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Makespan computation for GPU threads running on a single streaming multiprocessor

dc.contributor.authorBerezovskyi, Kostiantyn
dc.contributor.authorBletsas, Konstantinos
dc.contributor.authorAndersson, Björn
dc.date.accessioned2014-02-06T12:28:51Z
dc.date.available2014-02-06T12:28:51Z
dc.date.issued2012
dc.description.abstractGraphics processors were originally developed for rendering graphics but have recently evolved towards being an architecture for general-purpose computations. They are also expected to become important parts of embedded systems hardware -- not just for graphics. However, this necessitates the development of appropriate timing analysis techniques which would be required because techniques developed for CPU scheduling are not applicable. The reason is that we are not interested in how long it takes for any given GPU thread to complete, but rather how long it takes for all of them to complete. We therefore develop a simple method for finding an upper bound on the makespan of a group of GPU threads executing the same program and competing for the resources of a single streaming multiprocessor (whose architecture is based on NVIDIA Fermi, with some simplifying assunptions). We then build upon this method to formulate the derivation of the exact worst-case makespan (and corresponding schedule) as an optimization problem. Addressing the issue of tractability, we also present a technique for efficiently computing a safe estimate of the worstcase makespan with minimal pessimism, which may be used when finding an exact value would take too long.por
dc.description.sponsorshipFCOMP-01-0124-FEDER-020447
dc.description.sponsorshipNational Funds through the FCT-MCTES (Portuguese Foundation for Science and Technology) and by ERDF (European Regional Development Fund) through COMPETE (Operational Programme ‘Thematic Factors of Competitiveness’)
dc.identifier.doi10.1109/ECRTS.2012.16
dc.identifier.isbn978-1-4673-2032-0
dc.identifier.issn1068-3070
dc.identifier.urihttp://hdl.handle.net/10400.22/3722
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.relation.ispartofseriesReal-Time Systems (ECRTS);
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6257579por
dc.titleMakespan computation for GPU threads running on a single streaming multiprocessorpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.title24th Euromicro Conference on Real-Time Systems (ECRTS), 2012por
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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