EIE: Efficient Inference Engine on Compressed Deep Neural Network · HackerPapers discussions

EIE: Efficient Inference Engine on Compressed Deep Neural Network — mentioned by emcq

Sun, 12 Feb 2017 03:31:54 GMT

I appreciate healthy discussion of technical topics. However, I'm not sure you're having this discussion in good faith. I wrote this response in case you are. LeCun never said anything about the Von Neumann Bottleneck. TrueNorth is not a Von Neumann architecture; it does not have a memory bus; it does not have the Von Neumann Bottleneck [0,2,3]. From wikipedia [1]: "TrueNorth circumvents the von-Neumann-architecture bottlenecks and is very energy-efficient, consuming 70 milliwatts, about 1/10,000th the power density of conventional microprocessors" If you disagree, please explain how you…

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EIE: Efficient Inference Engine on Compressed Deep Neural Network — mentioned by mastazi

Sat, 15 Oct 2016 07:01:56 GMT

If anyone, like me, prefers non-pdf arxiv links, here's the paper linked by the parent: https://arxiv.org/abs/1602.01528 Edit @protomok thanks for the link, it is an interesting paper!

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EIE: Efficient Inference Engine on Compressed Deep Neural Network — mentioned by protomok

Fri, 14 Oct 2016 21:04:45 GMT

> But by then I suspect ASICs (including one from NVIDIA) will be the new kings. Yes, I suspect Nvidia has been developing/prototyping a Deep Learning ASIC for some time now. The power savings from an ASIC (particularly for inference) are just too massive to ignore. Nvidia also seems to be involved in an inference only accelerator from Stanford called EIE (excellent paper here - https://arxiv.org/pdf/1602.01528v2.pdf).

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