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DTSTAMP:20240626T180033Z
LOCATION:Level 2 Lobby
DTSTART;TZID=America/Los_Angeles:20240626T180000
DTEND;TZID=America/Los_Angeles:20240626T190000
UID:dac_DAC 2024_sess256_LBR104@linklings.com
SUMMARY:Late Breaking Results: TriSC: Low-Cost Design of Trigonometric Fun
 ctions with Quasi Stochastic Computing
DESCRIPTION:Late Breaking Results Poster\n\nSercan Aygun, Mehran Shoushtar
 i Moghadam, and M. Hassan Najafi (University of Louisiana at Lafayette)\n\
 nLow-cost and hardware-efficient design of trigonometric functions is chal
 lenging. Stochastic computing (SC), an emerging computing model processing
  random bit-streams, offers promising solutions for this challenge. The ex
 isting implementations, however, often overlook the importance of the data
  converters necessary to generate the needed bitstreams. While recent adva
 ncements in SC bit-stream generators focus on basic arithmetic operations 
 such as multiplication and addition, energy-efficient SC design of non-lin
 ear functions demands attention to both the computation circuit and the bi
 t-stream generation. This work introduces TriSC, a novel approach for SC-b
 ased design of trigonometric functions enjoying state-of-the-art (SOTA) qu
 asi-random bit-streams. Unlike SOTA SC designs of trigonometric functions 
 that heavily rely on delay elements in mid-stages to decorrelate bit-strea
 ms, our approach avoids delay elements while improving the accuracy of the
  results. TriSC yields significant energy savings up to 92% compared to SO
 TA. As novel use cases studied for the first time in SC literature, we emp
 loy the proposed design for 2D image transformation and forward kinematics
  of a robotic arm, both computation-intensive applications demanding low-c
 ost trigonometric designs.
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