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PRODID:Linklings LLC
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TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0700
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TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20211208T164413Z
LOCATION:Level 2 - Lobby
DTSTART;TZID=America/Los_Angeles:20211208T180000
DTEND;TZID=America/Los_Angeles:20211208T190000
UID:dac_DAC 2021_sess243_WIP166@linklings.com
SUMMARY:Tatami: Dynamic CGRA Reconfiguration for Multi-Core General Purpos
 e Processing
DESCRIPTION:Networking Reception, Work-in-Progress Poster\n\nTatami: Dynam
 ic CGRA Reconfiguration for Multi-Core General Purpose Processing\n\nLee, 
 Carlson\n\nCGRAs enable energy-efficient, highly configurable solutions fo
 r embedded system workloads. Most existing techniques have been proposed i
 n the context of single core systems and are limited to benefit multi-core
  configurations.\n\nTo take advantage of multi-core systems, one needs to 
 support dynamically offloading multiple kernels to a CGRA accelerator. As 
 all of the combinations cannot be determined and programmed upfront, by ad
 aptively programming the CRGA in run time, we exploit the acceleration opp
 ortunities. In this work, we introduce a novel CGRA programming method tha
 t limits the complexity of selecting the optimal configuration, while main
 taining close-to-optimal performance results.\n\nVirtual Program: Presente
 d In-Person
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