BibTeX record journals/fams/GeorganasKAAAAB22

download as .bib file

@article{DBLP:journals/fams/GeorganasKAAAAB22,
  author       = {Evangelos Georganas and
                  Dhiraj D. Kalamkar and
                  Sasikanth Avancha and
                  Menachem Adelman and
                  Deepti Aggarwal and
                  Cristina Anderson and
                  Alexander Breuer and
                  Jeremy Bruestle and
                  Narendra Chaudhary and
                  Abhisek Kundu and
                  Denise Kutnick and
                  Frank Laub and
                  Md. Vasimuddin and
                  Sanchit Misra and
                  Ramanarayan Mohanty and
                  Hans Pabst and
                  Brian Retford and
                  Barukh Ziv and
                  Alexander Heinecke},
  title        = {Tensor Processing Primitives: {A} Programming Abstraction for Efficiency
                  and Portability in Deep Learning and {HPC} Workloads},
  journal      = {Frontiers Appl. Math. Stat.},
  volume       = {8},
  pages        = {826269},
  year         = {2022},
  url          = {https://doi.org/10.3389/fams.2022.826269},
  doi          = {10.3389/FAMS.2022.826269},
  timestamp    = {Mon, 08 Apr 2024 14:13:41 +0200},
  biburl       = {https://dblp.org/rec/journals/fams/GeorganasKAAAAB22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.