X-NVDLA: Runtime Accuracy Configurable NVDLA Based on Applying Voltage Overscaling to Computing and Memory Units
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
Funder
Software and Hardware Foundations of the National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture
Link
https://ieeexplore.ieee.org/ielam/8919/10109891/10065585-aam.pdf
Reference52 articles.
1. ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Learning Accelerators
2. Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy
3. Energy-Efficient Neural Network Acceleration in the Presence of Bit-Level Memory Errors
4. Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor
5. Reducing power by optimizing the necessary precision/range of floating-point arithmetic
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