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SCHEDULE: NOV 15-20, 2015
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.
Modeling the Impact of Thread Configuration on Power and Performance of GPUs
SESSION: Regular & ACM Student Research Competition Poster Reception
EVENT TYPE: Posters, Receptions, ACM Student Research Competition
EVENT TAG(S): HPC Beginner Friendly, ACM Student Research Competition Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold
AUTHOR(S):Tiffany A. Connors
ROOM:Level 4 - Lobby
ABSTRACT:
Because graphics processing units (GPUs) are a low-cost option for achieving high computational power, they have become widely used in high-performance computing. However, GPUs can consume large amounts of power. Due to the associated energy costs, improving energy-efficiency has become a growing concern. By evaluating the impact of thread configuration on performance and power trade-off, energy-efficient solutions can be identified.
The impact that a thread configuration will have on the performance and power trade-off of a GPU kernel can be accurately predicted using machine learning. Using dynamic features of a GPU kernel as input, a machine learning model can be used to assist in the selection of thread configurations which will improve performance and minimize power consumption.
Chair/Author Details:
Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|
Tiffany A. Connors - Texas State University
Click here to download .ics calendar file