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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20141119T193000Z
DTEND:20141119T200000Z
LOCATION:391-92
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Accelerator-based systems are making rapid inroads into becoming platforms of choice for high end cloud services. There is a need therefore, to move from the current model in which high performance applications explicitly and programmatically select the GPU devices on which to run, to a dynamic model where GPUs are treated as first class schedulable entities. The Strings scheduler realizes this vision by decomposing the GPU scheduling problem into a combination of load balancing and per-device scheduling. (i) Device-level scheduling efficiently uses all of a GPU’s hardware resources, including its computational and data movement engines, and (ii) load balancing goes beyond obtaining high throughput, to ensure fairness through prioritizing GPU requests that have attained least service. With its methods, Strings achieves system throughput and fairness improvements of up to 8.70x and 13%, respectively, compared to the CUDA runtime
SUMMARY:Scheduling Multi-Tenant Cloud Workloads on Accelerator-Based Systems
PRIORITY:3
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