Search Results for author: Reza Hojabr

Found 2 papers, 0 papers with code

TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training

no code implementations11 Oct 2020 Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi

In this work, first we present a novel approach to add the training ability to a baseline DNN accelerator (inference only) by splitting the SGD algorithm into simple computational elements.

On the Resilience of Deep Learning for Reduced-voltage FPGAs

no code implementations26 Dec 2019 Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrian Cristal, Osman S. Unsal

This paper experimentally evaluates the resilience of the training phase of DNNs in the presence of voltage underscaling related faults of FPGAs, especially in on-chip memories.

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