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DESCRIPTION:The North American Workshop on Silicon Photonics for High-Perfo
 rmance Computing (SPHPC) will bring together experts in Silicon Photonics 
 and in High-Performance Computing (HPC architects and experts\, interconne
 ct architects\, HPC systems modeling\, etc.) to discuss the state-of-the-a
 rt with Silicon Photonics based HPC interconnects and computing platforms 
 (e.g.\, AI accelerators)\, and the main challenges that must be addressed 
 to accelerate their development. It will consist of invited talks of the h
 ighest caliber from academia\, industry\, and government agencies as well 
 as from different related disciplines.\n\nFor SPHPC’23\, we will focus o
 n a special theme on Photonics for AI and AI for Photonics. In addition\, 
 SPHPC will host a student presentation session to invite students working 
 in this area to present their projects at the workshop and receive feedbac
 k on their work. This is the event for meeting professionals in the field 
 as well as exchanging and exploring new ideas.\nAbout SPHPC - https://www.
 engr.colostate.edu/SPHPC/\n\nSilicon photonics has emerged as a promising 
 solution to realize high-performance computing (HPC) systems required in t
 he Big Data era. Having various applications in the domains of HPC\, data 
 centers\, sensors and bio-sensing\, aerospace\, artificial intelligence (A
 I)\, etc.\, it has attracted researchers from academia and industries in d
 ifferent fields to explore various benefits and challenges of this technol
 ogy. As an emerging area\, it demands multidisciplinary collaborations and
  contributions\, from material science and engineering\, for realizing low
 -loss CMOS compatible components\, to novel system architectures and softw
 are CAD and design tools to explore the design space of the resulting comp
 lex devices and systems. The North American Workshop on Silicon Photonics 
 for High-Performance Computing (SPHPC) brings together experts from academ
 ia and industry working on silicon photonics and HPC (and other applicatio
 ns) to discuss the latest advances\, remaining challenges\, and research o
 pportunities in this field.\n\nCo-sponsored by: Silicon Photonics high-per
 formance computing (SPHPC)\, 29th IEEE International Symposium on High-Per
 formance Computer Architecture (HPCA-29)\; Centre for Systems\, Technologi
 es and Applications for Radiofrequency and Communication (STARaCom)\; \n\n
 Agenda: \nhttps://www.engr.colostate.edu/SPHPC/program/\n\nTime	Speaker	To
 pic\nSession 1\n\nChair: Mahdi Nikdast\n\n(Feb. 26th)\n8:00 am – 8:20 am
 	Volker J. Sorger\n\nGeorge Washington University\, USA\nPhotonic Machine 
 Intelligence: Tensor Core\, Convolution Accelerator\, Chip Packaging\n8:20
  am – 8:40 am	Sean Pang\n\nUniversity of Central Florida\, USA\nCoherent
  Matrix Accelerator for Scalable Photonic Information Processing\n8:40 am 
 – 9:00 am	Sudeep Pasricha\n\nColorado State University\, USA\nCross-Laye
 r Design of Machine Learning Accelerators with Silicon Photonics\n9:00 am 
 – 9:20 am	Ajay Joshi\, Boston University\, USA	Photonic Computing Archit
 ectures for AI: A Systems Perspective\n9:20 am – 9:40 am	Sebastien Le Be
 ux\n\nConcordia University\, Canada\nA Nanophotonic Interconnect based on 
 Non-Volatile Phase Change Material\n9:40 am – 9:50 am	Kh Arif Shahriar\n
 \nPhD student\, ECE Department\, McGill University\, Canada\nTBC\n9:50 am 
 – 10:00 am	Daniel Hutama\n\nSchool of Electrical and Computer Engineerin
 g\, University of Ottawa\, Canada\nTBC\nCoffee break	10:00 am – 10:20 am
 \nSession 2\n\nChair: Kaveh Rahbardar Mojaver\n\n(Feb. 26th)\n10:20 am –
  10:40 am	Bhavin Shastri\n\nQueens University\, Canada\nNeuromorphic Silic
 on Photonics and Applications from Classical to Quantum\n10:40 am – 11:0
 0 am	Emanuel Peinke\n\n3e8\, Canada\nA Scalable Optics Computing Approach\
 n11:00 am – 11:20 am	Nathan Youngblood\n\nUniversity of Pittsburgh\, USA
 \nPhotonic Architectures for Computing In Memory Using Nonvolatile Optical
  Materials\n11:20 am – 11:40 am	Dan-Xia Xu\n\nNational Research Council 
 (NRC)\, Canada\nOptimization in the Non-Convex Design Space of Nanophotoni
 c Components: Mitigation Strategies Using Machine Learning\n11:40 am – 1
 2:00 pm	Dusan Gostimirovic\n\nMcGill University\, Canada\nFabrication-Awar
 e Design of Integrated Photonic Devices Using Convolutional Neural Network
 s\n12:00 pm – 12:20 pm	David Pan\n\nThe University of Texas at Austin\, 
 USA\nClosing the Virtuous Cycle of Photonics for AI and AI for Photonics\n
 \nHotel Bonaventure Montreal\, 900 Rue De La Gauchetière O\, Montréal\, 
 Quebec\, Canada\, H5A 1E4
LOCATION:Hotel Bonaventure Montreal\, 900 Rue De La Gauchetière O\, Montr
 éal\, Quebec\, Canada\, H5A 1E4
ORGANIZER:matthew.t.posner@ieee.org
SEQUENCE:11
SUMMARY:Photonics for AI and AI for Photonics
URL;VALUE=URI:https://events.vtools.ieee.org/m/341878
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The&amp;nbsp\;&lt;strong&gt;North American Workshop 
 on Silicon Photonics for High-Performance Computing (SPHPC)&amp;nbsp\;&lt;/strong
 &gt;will bring together experts in Silicon Photonics and in High-Performance 
 Computing (HPC architects and experts\, interconnect architects\, HPC syst
 ems modeling\, etc.) to discuss the state-of-the-art with Silicon Photonic
 s based HPC interconnects and computing platforms (e.g.\, AI accelerators)
 \, and the main challenges that must be addressed to accelerate their deve
 lopment. It will consist of invited talks of the highest caliber from acad
 emia\, industry\, and government agencies as well as from different relate
 d disciplines.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;For SPHPC&amp;rsquo\;23\, we will focus 
 on a special theme on Photonics for AI and AI for Photonics.&lt;/strong&gt;&amp;nbsp
 \;In addition\, SPHPC will host a&amp;nbsp\;&lt;strong&gt;student presentation sessi
 on&lt;/strong&gt;&amp;nbsp\;to invite students working in this area to present their
  projects at the workshop and receive feedback on their work. This is the 
 event for meeting professionals in the field as well as exchanging and exp
 loring new ideas.&lt;/p&gt;\n&lt;header class=&quot;entry-header&quot;&gt;&lt;strong&gt;About SPHPC - 
 &lt;a id=&quot;m_413043072065712437LPNoLPOWALinkPreview&quot; href=&quot;https://www.engr.co
 lostate.edu/SPHPC/&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot; data-saferedirecturl=&quot;h
 ttps://www.google.com/url?q=https://www.engr.colostate.edu/SPHPC/&amp;amp\;sou
 rce=gmail&amp;amp\;ust=1672849120244000&amp;amp\;usg=AOvVaw0LnsbKIsz5DRo6jknqHe1O&quot;
 &gt;https://www.engr.colostate.&lt;wbr /&gt;edu/SPHPC/&lt;/a&gt;&amp;nbsp\;&lt;/strong&gt;&lt;/header&gt;
 \n&lt;div class=&quot;entry-content&quot;&gt;\n&lt;p&gt;Silicon photonics has emerged as a promi
 sing solution to realize high-performance computing (HPC) systems required
  in the Big Data era. Having various applications in the domains of HPC\, 
 data centers\, sensors and bio-sensing\, aerospace\, artificial intelligen
 ce (AI)\, etc.\, it has attracted researchers from academia and industries
  in different fields to explore various benefits and challenges of this te
 chnology. As an emerging area\, it demands multidisciplinary collaboration
 s and contributions\, from material science and engineering\, for realizin
 g low-loss CMOS compatible components\, to novel system architectures and 
 software CAD and design tools to explore the design space of the resulting
  complex devices and systems. The North American Workshop on Silicon Photo
 nics for High-Performance Computing (SPHPC) brings together experts from a
 cademia and industry working on silicon photonics and HPC (and other appli
 cations) to discuss the latest advances\, remaining challenges\, and resea
 rch opportunities in this field.&lt;/p&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;h
 ttps://www.engr.colostate.edu/SPHPC/program/&lt;/p&gt;\n&lt;table width=&quot;86.557681%
 &quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;&lt;strong&gt;Time&lt;/strong&gt;&lt;/td&gt;\n&lt;td width=&quot;2
 33&quot;&gt;&lt;strong&gt;Speaker&lt;/strong&gt;&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;&lt;strong&gt;Topic&lt;/strong&gt;&lt;
 /td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td rowspan=&quot;6&quot; width=&quot;76&quot;&gt;&lt;strong&gt;Session 1&lt;/strong&gt;\n
 &lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Chair: Mahdi Nikdast&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;(Feb. 26th)&lt;/stron
 g&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;94&quot;&gt;8:00 am &amp;ndash\; 8:20 am&lt;/td&gt;\n&lt;td width=&quot;23
 3&quot;&gt;Volker J. Sorger\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;George Washington University\, USA
 &lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;Photonic Machine Intelligence: Tensor Core\, 
 Convolution Accelerator\, Chip Packaging&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;
 &gt;8:20 am &amp;ndash\; 8:40 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Sean Pang\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\
 n&lt;p&gt;University of Central Florida\, USA&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;Cohere
 nt Matrix Accelerator for Scalable Photonic Information Processing&lt;/td&gt;\n&lt;
 /tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;8:40 am &amp;ndash\; 9:00 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;
 Sudeep Pasricha\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Colorado State University\, USA&lt;/p&gt;\n&lt;
 /td&gt;\n&lt;td width=&quot;357&quot;&gt;Cross-Layer Design of Machine Learning Accelerators 
 with Silicon Photonics&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;9:00 am &amp;ndash\; 
 9:20 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Ajay Joshi\, Boston University\, USA&lt;/td&gt;\n&lt;
 td width=&quot;357&quot;&gt;Photonic Computing Architectures for AI: A Systems Perspect
 ive&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;9:20 am &amp;ndash\; 9:40 am&lt;/td&gt;\n&lt;td w
 idth=&quot;233&quot;&gt;Sebastien Le Beux\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Concordia University\, Ca
 nada&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;A Nanophotonic Interconnect based on Non-
 Volatile Phase Change Material&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;9:40 am &amp;
 ndash\; 9:50 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Kh Arif Shahriar\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p
 &gt;PhD student\, ECE Department\, McGill University\, Canada&lt;/p&gt;\n&lt;/td&gt;\n&lt;td
  width=&quot;357&quot;&gt;TBC&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td&gt;&lt;strong&gt;&amp;nbsp\;&lt;/strong&gt;&lt;/td&gt;\n&lt;td
 &gt;9:50 am &amp;ndash\; 10:00 am&lt;/td&gt;\n&lt;td&gt;Daniel Hutama\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Sch
 ool of Electrical and Computer Engineering\, University of Ottawa\, Canada
 &lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;TBC&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;76&quot;&gt;&lt;strong&gt;Coffee brea
 k&lt;/strong&gt;&lt;/td&gt;\n&lt;td width=&quot;94&quot;&gt;10:00 am &amp;ndash\; 10:20 am&lt;/td&gt;\n&lt;td width
 =&quot;233&quot;&gt;&amp;nbsp\;&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;&amp;nbsp\;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td rowspa
 n=&quot;6&quot; width=&quot;76&quot;&gt;&lt;strong&gt;Session 2&amp;nbsp\;&lt;/strong&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Cha
 ir: Kaveh Rahbardar Mojaver&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;(Feb. 26th)&lt;/strong&gt;&lt;/p&gt;\n&lt;/td
 &gt;\n&lt;td width=&quot;94&quot;&gt;10:20 am &amp;ndash\; 10:40 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Bhavin 
 Shastri\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Queens University\, Canada&lt;/p&gt;\n&lt;/td&gt;\n&lt;td wid
 th=&quot;357&quot;&gt;Neuromorphic Silicon Photonics and Applications from Classical to
  Quantum&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;10:40 am &amp;ndash\; 11:00 am&lt;/td&gt;
 \n&lt;td width=&quot;233&quot;&gt;Emanuel Peinke\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;3e8\, Canada&lt;/p&gt;\n&lt;/t
 d&gt;\n&lt;td width=&quot;357&quot;&gt;A Scalable Optics Computing Approach&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;
 \n&lt;td width=&quot;94&quot;&gt;11:00 am &amp;ndash\; 11:20 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Nathan Y
 oungblood\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;University of Pittsburgh\, USA&lt;/p&gt;\n&lt;/td&gt;\n&lt;
 td width=&quot;357&quot;&gt;Photonic Architectures for Computing In Memory Using Nonvol
 atile Optical Materials&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;11:20 am &amp;ndash\
 ; 11:40 am&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Dan-Xia Xu\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;National R
 esearch Council (NRC)\, Canada&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;Optimization in
  the Non-Convex Design Space of Nanophotonic Components: Mitigation Strate
 gies Using Machine Learning&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;11:40 am &amp;nd
 ash\; 12:00 pm&lt;/td&gt;\n&lt;td width=&quot;233&quot;&gt;Dusan Gostimirovic\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;
 p&gt;McGill University\, Canada&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;Fabrication-Aware
  Design of Integrated Photonic Devices Using Convolutional Neural Networks
 &lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;94&quot;&gt;12:00 pm &amp;ndash\; 12:20 pm&lt;/td&gt;\n&lt;td wi
 dth=&quot;233&quot;&gt;David Pan\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;The University of Texas at Austin\
 , USA&lt;/p&gt;\n&lt;/td&gt;\n&lt;td width=&quot;357&quot;&gt;Closing the Virtuous Cycle of Photonics 
 for AI and AI for Photonics&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
END:VEVENT
END:VCALENDAR