Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors

12 July 2022

Papers citing "Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors"

8 / 8 papers shown

Title
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar 17 0 0 05 Feb 2024
A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Oluwaseun Adewunmi Alo Ishan G. Thakkar 11 2 0 05 Feb 2024
High-Speed and Energy-Efficient Non-Binary Computing with Polymorphic Electro-Optic Circuits and Architectures Ishan G. Thakkar Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi 12 1 0 15 Apr 2023
SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar S. A. Salehi J. Hastings 13 8 0 14 Feb 2023
An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar MQ 6 4 0 03 Feb 2023
Silicon Photonic Microring Based Chip-Scale Accelerator for Delayed Feedback Reservoir Computing Sairam Sri Vatsavai Ishan G. Thakkar 14 3 0 03 Jan 2021
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 56 1,596 0 14 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017