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| Applied machine learning at facebook: A datacenter infrastructure perspective K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ... 2018 IEEE international symposium on high performance computer architecture …, 2018 | 762 | 2018 |
| A study of BFLOAT16 for deep learning training D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ... arXiv preprint arXiv:1905.12322, 2019 | 364 | 2019 |
| Efficient sparse matrix-vector multiplication on x86-based many-core processors X Liu, M Smelyanskiy, E Chow, P Dubey Proceedings of the 27th international ACM conference on International …, 2013 | 342 | 2013 |
| Glow: Graph lowering compiler techniques for neural networks N Rotem, J Fix, S Abdulrasool, G Catron, S Deng, R Dzhabarov, N Gibson, ... arXiv preprint arXiv:1805.00907, 2018 | 336 | 2018 |
| The architectural implications of facebook's dnn-based personalized recommendation U Gupta, CJ Wu, X Wang, M Naumov, B Reagen, D Brooks, B Cottel, ... 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020 | 331 | 2020 |
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| Practical optimization for hybrid quantum-classical algorithms GG Guerreschi, M Smelyanskiy arXiv preprint arXiv:1701.01450, 2017 | 177 | 2017 |
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| The BLIS framework: Experiments in portability FG Van Zee, TM Smith, B Marker, TM Low, RAVD Geijn, FD Igual, ... ACM Transactions on Mathematical Software (TOMS) 42 (2), 1-19, 2016 | 130 | 2016 |
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