"Tensor Processing Primitives: A Programming Abstraction for Efficiency and ..."

Evangelos Georganas et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2024-04-08

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-05755
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-05755
Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke:
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. CoRR abs/2104.05755 (2021)

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