Review of ASIC accelerators for deep neural network
Deep neural networks (DNNs) have become an essential tool in artificial intelligence, with a
wide range of applications such as computer vision, medical diagnosis, security, robotics …
wide range of applications such as computer vision, medical diagnosis, security, robotics …
Efficient hardware architectures for accelerating deep neural networks: Survey
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
[图书][B] Efficient processing of deep neural networks
This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for …
An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks
Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial
Intelligence (AI) applications. Their ability to go beyond human precision has made these …
Intelligence (AI) applications. Their ability to go beyond human precision has made these …
Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning
Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a
broad range of systems (from embedded systems to data centers). At the same time, a small …
broad range of systems (from embedded systems to data centers). At the same time, a small …
Efficiency versus accuracy: a review of design techniques for DNN hardware accelerators
C Latotzke, T Gemmeke - IEEE Access, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) have surpassed other algorithms in analyzing today's
abundant data. Due to the security and delay requirements of the given applications …
abundant data. Due to the security and delay requirements of the given applications …
An overview of energy-efficient hardware accelerators for on-device deep-neural-network training
J Lee, HJ Yoo - IEEE Open Journal of the Solid-State Circuits …, 2021 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have been widely used in various artificial intelligence (AI)
applications due to their overwhelming performance. Furthermore, recently, several …
applications due to their overwhelming performance. Furthermore, recently, several …
Minerva: Enabling low-power, highly-accurate deep neural network accelerators
The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked
a trend of accelerating their execution with specialized hardware. While published designs …
a trend of accelerating their execution with specialized hardware. While published designs …
Fast and efficient convolutional accelerator for edge computing
Convolutional neural networks (CNNs) are a vital approach in machine learning. However,
their high complexity and energy consumption make them challenging to embed in mobile …
their high complexity and energy consumption make them challenging to embed in mobile …
Dnn-chip predictor: An analytical performance predictor for dnn accelerators with various dataflows and hardware architectures
The recent breakthroughs in deep neural networks (DNNs) have spurred a tremendously
increased demand for DNN accelerators. However, designing DNN accelerators is non …
increased demand for DNN accelerators. However, designing DNN accelerators is non …