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DTSTART:20210314T030000
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DTSTART;TZID=America/Edmonton:20201112T120000
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DESCRIPTION:For decades there has been a new CMOS technology node approxima
 tely every two years. Until recently\, thanks to scaling\, the key feature
  of every new technology node has been a 100% integration capacity and 40%
  performance improvement… free-of-charge. The International Technology R
 oadmap for Semiconductors (ITRS) has been architected in such a way that t
 his improvement became a self-fulfilling prophecy of the roadmap itself. E
 verything else has been bent in the attempt to make scaling happen… fore
 ver. That has changed as we approach the near end of Moore’s Law.\n\nFor
  eons snails have built the cells of their shell according to the Fibonacc
 i’s numbers – where each cell has a volume that is the sum of the volu
 me of the previous two cells. Snails understand\, however\, that at a cert
 ain point in time growth must stop to prevent the collapse of the shell by
  making it too big and therefore fragile. When this point is reached\, sna
 ils do stop adding larger cells\, and start improving the robustness of th
 e shell.\n\nBack to us: technology-wise\, scaling has rapidly exhausted th
 e resources of CMOS technology\, which\, by now\, struggles to deliver any
  further improvement. A number of fundamental challenges have emerged\, bo
 th technical and financial\, which force a thorough rethinking of how scal
 ing has been done\, and whether scaling continues to be the most appropria
 te solution to provide the world with the silicon content that it needs.\n
 \nLike Al Gore’s premise on energy consumption and global warming\, ther
 e is an inconvenient truth to be acknowledged in our industry: scaling is 
 like fossil fuels – the cheapest and easiest way to go. Unfortunately\, 
 also like fossil fuels\, it is not sustainable indefinitely. And it become
 s more costly and inefficient every day. New avenues\, which are available
  today\, are worth exploring and must be undertaken. That is\, unless snai
 ls are more intelligent than us…\n\nIn this talk\, Dr. Williams will des
 cribe the problems with scaling and a number of possible solutions\, inclu
 ding the latest alternative paths and their relative merits.\n\n----------
 --------------------------------------------------------------------------
 --------------------------------------------------------------------------
 -----\n\nDr. Thomas W. Williams is a retired Synopsys Fellow at Synopsys i
 n Boulder\, Colorado\, U.S.A\, currently living in Canmore\, AB\, Canada. 
 Formerly\, he was with IBM Microelectronics Division and manager of the VL
 SI Design for Testability group. He received a B.S.E.E. from Clarkson Univ
 ersity\, an M.A. in pure mathematics from the State University of New York
  at Binghamton\, and a Ph.D. in electrical engineering from Colorado State
  University. Dr. Williams was named an IEEE Fellow in 1988 and received th
 e Computer Society&#39;s W. Wallace McDowell Award for outstanding contributio
 ns to the computer art in 1989. In 2018 he received the Phil Kaufman Award
 \, “The Nobel Prize” of Semiconductor Industry.\n\nVirtual: https://ev
 ents.vtools.ieee.org/m/244887
LOCATION:Virtual: https://events.vtools.ieee.org/m/244887
ORGANIZER:ladawson@ucalgary.ca
SEQUENCE:8
SUMMARY:Another Inconvenient Truth: Snails Are More Intelligent Than Us
URL;VALUE=URI:https://events.vtools.ieee.org/m/244887
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;For decades there has been a new CMOS tech
 nology node approximately every two years. Until recently\, thanks to scal
 ing\, the key feature of every new technology node has been a 100% integra
 tion capacity and 40% performance improvement&amp;hellip\; free-of-charge. The
  International Technology Roadmap for Semiconductors (ITRS) has been archi
 tected in such a way that this improvement became a self-fulfilling prophe
 cy of the roadmap itself. Everything else has been bent in the attempt to 
 make scaling happen&amp;hellip\; forever. That has changed as we approach the 
 near end of Moore&amp;rsquo\;s Law.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;For eons snails have built 
 the cells of their shell according to the Fibonacci&amp;rsquo\;s numbers &amp;ndas
 h\; where each cell has a volume that is the sum of the volume of the prev
 ious two cells. Snails understand\, however\, that at a certain point in t
 ime growth must stop to prevent the collapse of the shell by making it too
  big and therefore fragile. When this point is reached\, snails do stop ad
 ding larger cells\, and start improving the robustness of the shell.&lt;/p&gt;\n
 &lt;p&gt;Back to us: technology-wise\, scaling has rapidly exhausted the resourc
 es of CMOS technology\, which\, by now\, struggles to deliver any further 
 improvement.&amp;nbsp\;A number of fundamental challenges have emerged\, both 
 technical and financial\, which force a thorough rethinking of how scaling
  has been done\, and whether scaling continues to be the most appropriate 
 solution to provide the world with the silicon content that it needs.&lt;/p&gt;\
 n&lt;p&gt;Like Al Gore&amp;rsquo\;s premise on energy consumption and global warming
 \, there is an inconvenient truth to be acknowledged in our industry: scal
 ing is like fossil fuels &amp;ndash\; the cheapest and easiest way to go. Unfo
 rtunately\, also like fossil fuels\, it is not sustainable indefinitely. A
 nd it becomes more costly and inefficient every day. New avenues\, which a
 re available today\, are worth exploring and must be undertaken. That is\,
  unless snails are more intelligent than us&amp;hellip\;&lt;/p&gt;\n&lt;p&gt;In this talk\
 , Dr. Williams will describe the problems with scaling and a number of pos
 sible solutions\, including the latest alternative paths and their relativ
 e merits.&lt;/p&gt;\n&lt;p&gt;--------------------------------------------------------
 --------------------------------------------------------------------------
 ---------------------------------&lt;/p&gt;\n&lt;p&gt;Dr. Thomas W. Williams is a reti
 red Synopsys Fellow at Synopsys in Boulder\, Colorado\, U.S.A\, currently 
 living in Canmore\, AB\, Canada. Formerly\, he was with IBM Microelectroni
 cs Division and manager of the VLSI Design for Testability group. He recei
 ved a B.S.E.E. from Clarkson University\, an M.A. in pure mathematics from
  the State University of New York at Binghamton\, and a Ph.D. in electrica
 l engineering from Colorado State University. Dr. Williams was named an IE
 EE Fellow in 1988 and received the Computer Society&#39;s W. Wallace McDowell 
 Award for outstanding contributions to the computer art in 1989. In 2018 h
 e received the Phil Kaufman Award\, &amp;ldquo\;The Nobel Prize&amp;rdquo\; of Sem
 iconductor Industry.&lt;/p&gt;
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