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<titleInfo><title>Towards large-scale photonic neural-network accelerators</title></titleInfo>


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<name type="personal">
  <namePart type="given">R.</namePart>
  <namePart type="family">Hamerly</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">A.</namePart>
  <namePart type="family">Sludds</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">L.</namePart>
  <namePart type="family">Bernstein</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">M.</namePart>
  <namePart type="family">Prabhu</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Charles</namePart>
  <namePart type="family">Roques-Carmes</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">e2e68fc9-6505-11ef-a541-eb4e72cc3e82</identifier></name>
<name type="personal">
  <namePart type="given">J.</namePart>
  <namePart type="family">Carolan</namePart>
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<name type="personal">
  <namePart type="given">Y.</namePart>
  <namePart type="family">Yamamoto</namePart>
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<name type="personal">
  <namePart type="given">M.</namePart>
  <namePart type="family">Soljacic</namePart>
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<name type="personal">
  <namePart type="given">D.</namePart>
  <namePart type="family">Englund</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>









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  <namePart>IEDM: International Electron Devices Meeting</namePart>
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<abstract lang="eng">Optical approaches to AI acceleration have gained intense interest recently due to the potentially breakthrough advantages of photonics: high bandwidth, low power consumption, and efficient data movement. We overview leading photonic AI platforms based on beamsplitter mesh networks, weight banks, and photoelectric multiplication. While the theoretical performance can be orders of magnitude beyond current state of the art, practical issues of chip area, input / output, and crosstalk paint a more nuanced near-term picture of photonic AI acceleration. Both fundamental and near-term limitations to energy efficiency are addressed, and bandwidth limitations due to temporal crosstalk are analyzed.</abstract>

<originInfo><publisher>IEEE</publisher><dateIssued encoding="w3cdtf">2019</dateIssued><place><placeTerm type="text">San Francisco, CA, United States</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>2019 IEEE International Electron Devices Meeting</title></titleInfo>
  <identifier type="eIssn">2156-017X</identifier><identifier type="doi">10.1109/iedm19573.2019.8993624</identifier>
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<chicago>Hamerly, R., A. Sludds, L. Bernstein, M. Prabhu, Charles Roques-Carmes, J. Carolan, Y. Yamamoto, M. Soljacic, and D. Englund. “Towards Large-Scale Photonic Neural-Network Accelerators.” In &lt;i&gt;2019 IEEE International Electron Devices Meeting&lt;/i&gt;. IEEE, 2019. &lt;a href=&quot;https://doi.org/10.1109/iedm19573.2019.8993624&quot;&gt;https://doi.org/10.1109/iedm19573.2019.8993624&lt;/a&gt;.</chicago>
<ama>Hamerly R, Sludds A, Bernstein L, et al. Towards large-scale photonic neural-network accelerators. In: &lt;i&gt;2019 IEEE International Electron Devices Meeting&lt;/i&gt;. IEEE; 2019. doi:&lt;a href=&quot;https://doi.org/10.1109/iedm19573.2019.8993624&quot;&gt;10.1109/iedm19573.2019.8993624&lt;/a&gt;</ama>
<ista>Hamerly R, Sludds A, Bernstein L, Prabhu M, Roques-Carmes C, Carolan J, Yamamoto Y, Soljacic M, Englund D. 2019. Towards large-scale photonic neural-network accelerators. 2019 IEEE International Electron Devices Meeting. IEDM: International Electron Devices Meeting.</ista>
<apa>Hamerly, R., Sludds, A., Bernstein, L., Prabhu, M., Roques-Carmes, C., Carolan, J., … Englund, D. (2019). Towards large-scale photonic neural-network accelerators. In &lt;i&gt;2019 IEEE International Electron Devices Meeting&lt;/i&gt;. San Francisco, CA, United States: IEEE. &lt;a href=&quot;https://doi.org/10.1109/iedm19573.2019.8993624&quot;&gt;https://doi.org/10.1109/iedm19573.2019.8993624&lt;/a&gt;</apa>
<ieee>R. Hamerly &lt;i&gt;et al.&lt;/i&gt;, “Towards large-scale photonic neural-network accelerators,” in &lt;i&gt;2019 IEEE International Electron Devices Meeting&lt;/i&gt;, San Francisco, CA, United States, 2019.</ieee>
<short>R. Hamerly, A. Sludds, L. Bernstein, M. Prabhu, C. Roques-Carmes, J. Carolan, Y. Yamamoto, M. Soljacic, D. Englund, in:, 2019 IEEE International Electron Devices Meeting, IEEE, 2019.</short>
<mla>Hamerly, R., et al. “Towards Large-Scale Photonic Neural-Network Accelerators.” &lt;i&gt;2019 IEEE International Electron Devices Meeting&lt;/i&gt;, IEEE, 2019, doi:&lt;a href=&quot;https://doi.org/10.1109/iedm19573.2019.8993624&quot;&gt;10.1109/iedm19573.2019.8993624&lt;/a&gt;.</mla>
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