Memory system characterization of deep learning workloads-Reference-Cited by-同舟云学术

Memory system characterization of deep learning workloads

Published:2019-09-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Symposium on Memory Systems
language:
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Author:

Chishti Zeshan¹,Akin Berkin²

Affiliation:

1. Intel Labs

2. Google

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357526.3357569

Reference25 articles.

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3. DaDianNao: A Machine-Learning Supercomputer

4. Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks;Chen Y. H.;Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture (ISCA),2016

5. "Intel architecture instruction set extensions and future features programming reference " Online: https://software.intel.com/sites/default/files/managed/c5/15/architecture-instruction-set-extensions-programming-reference.pdf October 2018. "Intel architecture instruction set extensions and future features programming reference " Online: https://software.intel.com/sites/default/files/managed/c5/15/architecture-instruction-set-extensions-programming-reference.pdf October 2018.

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