| Machine learning at facebook: Understanding inference at the edge CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ... 2019 IEEE international symposium on high performance computer architecture …, 2019 | 510 | 2019 |
| Chamnet: Towards efficient network design through platform-aware model adaptation X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 302 | 2019 |
| Fast sparse convnets E Elsen, M Dukhan, T Gale, K Simonyan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 151 | 2020 |
| Algorithmic time, energy, and power on candidate HPC compute building blocks J Choi, M Dukhan, X Liu, R Vuduc 2014 IEEE 28th international parallel and distributed processing symposium …, 2014 | 101 | 2014 |
| The indirect convolution algorithm M Dukhan arXiv preprint arXiv:1907.02129, 2019 | 48 | 2019 |
| QNNPACK: Open source library for optimized mobile deep learning M Dukhan, Y Wu, H Lu | 38 | 2018 |
| NNPACK: Acceleration package for neural networks on multi-core CPUs M Dukhan | 29* | 2016 |
| Branch-avoiding graph algorithms O Green, M Dukhan, R Vuduc Proceedings of the 27th ACM symposium on Parallelism in Algorithms and …, 2015 | 29 | 2015 |
| Scaling up hartree–fock calculations on tianhe-2 E Chow, X Liu, S Misra, M Dukhan, M Smelyanskiy, JR Hammond, Y Du, ... The International Journal of High Performance Computing Applications 30 (1 …, 2016 | 27 | 2016 |
| Methods for high-throughput computation of elementary functions M Dukhan, R Vuduc Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 12 | 2014 |
| Optimizing the computation of n-point correlations on large-scale astronomical data WB March, K Czechowski, M Dukhan, T Benson, D Lee, AJ Connolly, ... SC'12: Proceedings of the International Conference on High Performance …, 2012 | 12 | 2012 |
| Two-pass softmax algorithm M Dukhan, A Ablavatski 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 10 | 2020 |
| PeachPy: A python framework for developing high-performance assembly kernels M Dukhan Python for High Performance and Scientific Computing, 2013 | 8 | 2013 |
| Indirect deconvolution algorithm M Dukhan 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 3 | 2020 |
| Wanted: Floating-point add round-off error instruction M Dukhan, R Vuduc, J Riedy arXiv preprint arXiv:1603.00491, 2016 | 3 | 2016 |
| PeachPy meets Opcodes: direct machine code generation from Python M Dukhan Proceedings of the 5th Workshop on Python for High-Performance and …, 2015 | 2 | 2015 |
| Fast Sparse Neural Networks EK Elsen, TJ Gale, M Dukhan US Patent US-20220335272-A1, 2022 | 1 | 2022 |
| What a fast FPU means for algorithms: A story of vector elementary functions M Dukhan 2013 IEEE Hot Chips 25 Symposium (HCS), 1-1, 2013 | | 2013 |
| Furious. js: a Model for Offloading Compute-Intensive JavaScript Applications M Dukhan, R Taylor, R Guthrie, R Vuduc | | |
Richard VuducGeorgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
