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"AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators."

Niko Zurstraßen et al. (2022)

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DOI: 10.1007/S10766-022-00728-3

access: open

type: Journal Article

metadata version: 2022-05-18

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  dblp key:
  - journals/ijpp/ZurstrassenJKKL22
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  persistent URL:
  - https://dblp.org/rec/journals/ijpp/ZurstrassenJKKL22
Niko Zurstraßen, Lukas Jünger, Tim Kogel, Holger Keding, Rainer Leupers:
AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators. Int. J. Parallel Program. 50(2): 295-318 (2022)

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