MAGNet: A Modular Accelerator Generator for Neural Networks

Deep neural networks have been adopted in a wide range of application domains, leading to high demand for inference accelerators. However, the high cost associated with ASIC hardware design makes it challenging to build custom accelerators for different targets. To lower design cost, we propose MAGN...

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Bibliographic Details

Published in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design pp. 1 - 8
Main Authors:	Venkatesan, Rangharajan, Shao, Yakun Sophia, Wang, Miaorong, Clemons, Jason, Dai, Steve, Fojtik, Matthew, Keller, Ben, Klinefelter, Alicia, Pinckney, Nathaniel, Raina, Priyanka, Zhang, Yanqing, Zimmer, Brian, Dally, William J., Emer, Joel, Keckler, Stephen W., Khailany, Brucek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2019
Subjects:	Accelerator magnets Computer architecture Costs Generators Hardware Magnetic domains Magnetic resonance imaging Neural networks Space exploration Tuners
ISSN:	1558-2434
Online Access:	Get full text
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