CARLA: A Convolution Accelerator with a Reconfigurable and Low-Energy Architecture

Mehdi Ahmadi,Shervin Vakili,J. M. Pierre Langlois

IEEE Transactions on Circuits and Systems I: Regular Papers（2021）

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摘要

Convolutional Neural Networks (CNNs) have proven to be extremely accurate for image recognition, even outperforming human recognition capability. When deployed on battery–powered mobile devices, efficient computer architectures are required to enable fast and energy-efficient computation of costly convolution operations. Despite recent advances in hardware accelerator design for CNNs, two major pr...

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关键词

Convolution,Computer architecture,Random access memory,Computational modeling,Pipeline processing,Neurons,Task analysis

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