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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Scheduling Multi-Tenant Cloud Workloads on Accelerator-Based Systems
SESSION: Cloud Computing I
EVENT TYPE: Papers
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Rizos Sakellariou
AUTHOR(S):Dipanjan Sengupta, Anshuman Goswami, Karsten Schwan, Krishna Pallavi
ROOM:391-92
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
Chair/Author Details:
Rizos Sakellariou (Chair) - University of Manchester
Dipanjan Sengupta - Georgia Institute of Technology
Anshuman Goswami - Georgia Institute of Technology
Karsten Schwan - Georgia Institute of Technology
Krishna Pallavi - Georgia Institute of Technology
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