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08/31/2022
The Sparse Abstract Machine
We propose the Sparse Abstract Machine (SAM), an intermediate representa...
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04/28/2020
Estimating Silent Data Corruption Rates Using a Two-Level Model
High-performance and safety-critical system architects must accurately e...
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07/10/2018
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks
The design of DNNs has increasingly focused on reducing the computationa...
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05/23/2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have emerged as a fundamental techn...
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03/27/2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Deep neural networks (DNNs) are currently widely used for many artificia...
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03/17/2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Computer vision enables a wide range of applications in robotics/drones,...
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12/22/2016