Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors

19 April 2021

Papers citing "Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors"

5 / 5 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 19 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 13 2 0 05 Feb 2024
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion Thomas Feys L. V. D. Perre Franccois Rottenberg 19 1 0 05 Dec 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 21 8 0 14 Feb 2023
Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors Sairam Sri Vatsavai Ishan G. Thakkar 19 9 0 12 Jul 2022