Search Results for author: Kambiz Samadi

Found 2 papers, 0 papers with code

Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic

no code implementations27 Jun 2019 Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh

Low-power potential of mixed-signal design makes it an alluring option to accelerate Deep Neural Networks (DNNs).

Hardware Architecture

GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks

no code implementations10 May 2018 Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh

Even though there is a convolution stage in this operator, the inserted zeros lead to underutilization of the compute resources when a conventional convolution accelerator is employed.

Cannot find the paper you are looking for? You can Submit a new open access paper.