68 citations · 199 across the 17 of their papers we have counts for
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cs.LG2019
Automated design of error-resilient and hardware-efficient deep neural networks
Christoph Schorn, Thomas Elsken, Sebastian Vogel +3
Applying deep neural networks (DNNs) in mobile and safety-critical systems, such as autonomous vehicles, demands a reliable and efficient execution on hardware. Optimized dedicated…
cs.AR2019★ 8 cited
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
Andreas Bytyn, Rainer Leupers, Gerd Ascheid
In recent years, neural networks have surpassed classical algorithms in areas such as object recognition, e.g. in the well-known ImageNet challenge. As a result, great effort is be…