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...

Celý popis

Podrobná bibliografia

Vydané v:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 8
Hlavní autori:	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
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2019
Predmet:	Accelerator magnets Computer architecture Costs Generators Hardware Magnetic domains Magnetic resonance imaging Neural networks Space exploration Tuners
ISSN:	1558-2434
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!