Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alexander Sludds"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract As deep neural network (DNN) models grow ever-larger, they can achieve higher accuracy and solve more complex problems. This trend has been enabled by an increase in available compute power; however, efforts to continue to scale electronic p
Externí odkaz:
https://doaj.org/article/0d72cdbc9c1e4e1d9de42249a489e054
Publikováno v:
Physical Review X, Vol 9, Iss 2, p 021032 (2019)
Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic accelerator based on coherent detection that is scalable to large (N≳1
Externí odkaz:
https://doaj.org/article/3db54786bbcb41128ab0540bc1c8424a
Autor:
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr-Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk Englund
Publikováno v:
Science. 378:270-276
Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors – and this trend is acce
Autor:
Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk Englund
Publikováno v:
AI and Optical Data Sciences IV.
Autor:
Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Zaijun Chen, Liane Bernstein, Sri Krishna Vadlamani, Jasvith Basani, Ronald Davis, Dirk Englund
Publikováno v:
AI and Optical Data Sciences IV.
Autor:
Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk Englund
Publikováno v:
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).
Autor:
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk Englund
Publikováno v:
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).
Autor:
Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, David Heydari, Mircea Catuneanu, Dirk R. Englund, Kambiz Jamshidi
Publikováno v:
Metamaterials XIII.
Publikováno v:
AI and Optical Data Sciences III.
Autor:
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk Englund
Publikováno v:
Optical Fiber Communication Conference (OFC) 2022.
We present experimental demonstrations of ultra-low power edge computing enabled by wavelength division multiplexed optical links and time-integrating optical receivers. Initial experimentation demonstrations show ≲ 10 fJ of optical energy per MAC.