A Forward Error Compensation Approach for Fault Resilient Deep Neural Network Accelerator Design

2021 ◽  
Author(s):  
Wenye Liu ◽  
Chip-Hong Chang
Keyword(s):  
Neural Network ◽  
Error Compensation ◽  
Deep Neural Network ◽  
Compensation Approach ◽  
Forward Error ◽  
Accelerator Design

scholarly journals Ineffectual Neuron Free Deep Learning Accelerator

2019 ◽  
Vol 8 (9) ◽  
pp. 2819-2826
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Deep Learning ◽  
Visual Cortex ◽  
Computational Complexity ◽  
Image Recognition ◽  
Deep Neural Network ◽  
Improve Performance ◽  
High Efficient ◽  
Accelerator Design

Convolutional neural network (CNN) is actually a deep neural network which plays an important role in image recognition. The CNN recognizes images similar to visual cortex in our eyes. In this proposed work, an accelerator is used for high efficient convolutional computations. The main aim of using the accelerator is to avoid ineffectusal computations and to improve performance and energy efficiency during image recognition without any loss in accuracy. However, the throughput of the accelerator is improved by adding max-pooling function only. Since the CNN includes multiple inputs and intermediate weights for its convolutional computation, the computational complexity is increased enormously. Hence, to reduce the computational complexity of the CNN, a CNN accelerator is proposed in this paper. The accelerator design is simulated and synthesized in Cadence RTL compiler tool with 90nm technology library.

CTT-based Non-Volatile Deep Neural Network Accelerator Design

2021 ◽  
Author(s):  
Yang Xiao ◽  
Wuyu Fan ◽  
Yuan Du ◽  
Li Du ◽  
Mau-Chung Frank Chang
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Accelerator Design

Simulators for Deep Neural Network Accelerator Design and Analysis: A Brief Review

2021 ◽  
Author(s):  
Mijing Sun ◽  
Li Xu ◽  
Zhenmin Li ◽  
Wei Ni ◽  
Gaoming Du ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Accelerator Design

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification
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