Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Deepti Aggarwal, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Vasimuddin Md, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke. Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads. Frontiers Appl. Math. Stat., 8:826269, 2022. [doi]
@article{GeorganasKAAAAB22,
title = {Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads},
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 Vasimuddin Md and Sanchit Misra and Ramanarayan Mohanty and Hans Pabst and Brian Retford and Barukh Ziv and Alexander Heinecke},
year = {2022},
doi = {10.3389/fams.2022.826269},
url = {https://doi.org/10.3389/fams.2022.826269},
researchr = {https://researchr.org/publication/GeorganasKAAAAB22},
cites = {0},
citedby = {0},
journal = {Frontiers Appl. Math. Stat.},
volume = {8},
pages = {826269},
}