A Machine Learning Approach to Mapping Streaming Workloads to Dynamic Multicore Processors (LCTES 2016) - LCTES 2016

Mon 13 - Tue 14 June 2016 Santa Barbara, California, United States

co-located with PLDI 2016

Who

Paul-Jules Micolet, Christophe Dubach, Aaron Smith

Track

Time Zone

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When

Tue 14 Jun 2016 14:30 - 15:00 at Sierra Madre North - Session 5: Computation Partitioning Chair(s): Joxan Jaffar

Paul-Jules Micolet

Christophe Dubach

University of Edinburgh

Aaron Smith

Time Zone

The program is currently displayed in (GMT-07:00) Tijuana, Baja California.

Use conference time zone: (GMT-07:00) Tijuana, Baja CaliforniaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Tue 14 Jun
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	13:30 - 15:00	Session 5: Computation PartitioningLCTES at Sierra Madre North Chair(s): Joxan Jaffar National University of Singapore

	13:30 30m Talk		Opportunity for Compute Partitioning in Pursuit of Energy-Efficient Systems LCTES Prasenjit Chakraborty , Gautam Doshi , Vikrant Kumar , Shashank Shekhar
	14:00 30m Talk		Compiling a Gesture Recognition Application for a Low-Power Spatial Architecture LCTES Phitchaya Mangpo Phothilimthana , Michael Schuldt , Rastislav Bodík University of Washington, USA
	14:30 30m Talk		A Machine Learning Approach to Mapping Streaming Workloads to Dynamic Multicore Processors LCTES Paul-Jules Micolet , Christophe Dubach University of Edinburgh, Aaron Smith