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PRODID:Linklings LLC
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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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_WIP191@linklings.com
SUMMARY:Stimulus Truncation Method for Energy Efficient Memristor Based Ne
 uromorphic Computing
DESCRIPTION:Networking Reception, Work-in-Progress Poster\n\nStimulus Trun
 cation Method for Energy Efficient Memristor Based Neuromorphic Computing\
 n\nDing\n\nA solution is presented for improving energy efficiency and hei
 ghtening the performance of neuromorphic computing systems. Specifically, 
 a pulse truncation (PT) method is proposed to reduce number of pulses in e
 very weight update. The neuromorphic computing system with the PT method i
 s implemented and evaluated based on the fabricated memristor and its test
 ed current-pulse characteristics. The results show that the PT method cann
 ot only alleviate uneven pulse distribution in writing procedure, but also
  save the writing energy of crossbar array by 8.29%-26.87% and reduce the 
 writing latency by 30%-48%. Finally, the significant nonlinearity and many
  variations are considered.\n\nVirtual Program: Presented In-Person
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