Conv-RAM: An energy-efficient SRAM with embedded convolution computation for low-power CNN-based machine learning applications

• Published in: Digest of technical papers - IEEE International Solid-State Circuits Conference pp. 488 - 490
• Main Authors: Biswas, Avishek, Chandrakasan, Anantha P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2018
• Subjects: Computer architecture; Convolution; Convolutional neural networks; Energy efficiency; Linearity; Random access memory; Timing

Convolutional neural networks (CNN) provide state-of-the-art results in a wide variety of machine learning (ML) applications, ranging from image classification to speech recognition. However, they are very computationally intensive and require huge amounts of storage. Recent work strived towards red...