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dc.contributor.authorHasle, Geir
dc.contributor.authorSchulz, Christian Ferdinand
dc.contributor.authorHagen, Trond Runar
dc.date.accessioned2017-02-08T12:40:12Z
dc.date.available2017-02-08T12:40:12Z
dc.date.created2015-09-24T20:47:32Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/11250/2430006
dc.description.abstractModern PCs are parallel and heterogeneous, with a growing number of cores for task parallelism and ever more powerful data parallel accelerators. The glory days when you could go to the beach for two years, and your sequential optimization program would run twice as fast on a  new PC when you got back, are gone due to technological limits. To utilize the computing power of modern PCs and profit from future hardware  developments you need to rewrite your sequential code and even rethink your optimization methods. I will go through the recent change in processor development and its repercussions. The potential of heterogeneous computing will be illustrated with fresh results from a GPU-based VRP solver developed at SINTEF. Speculative ideas for a self-adaptive, heterogeneous VRP solver will conclude my talk.
dc.description.abstract“The Beach Law” does not hold any more - Discrete optimization needs heterogeneous computing
dc.language.isoengnb_NO
dc.title“The Beach Law” does not hold any more - Discrete optimization needs heterogeneous computingnb_NO
dc.typeLecturenb_NO
dc.identifier.cristin1272774
cristin.unitcode7401,90,11,0
cristin.unitnameAnvendt matematikk
cristin.ispublishedtrue
cristin.fulltextpostprint


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