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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Veröffentlicht in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design S. 1 - 8
Hauptverfasser:	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:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2019
Schlagworte:	Accelerator magnets Computer architecture Costs Generators Hardware Magnetic domains Magnetic resonance imaging Neural networks Space exploration Tuners
ISSN:	1558-2434
Online-Zugang:	Volltext
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