| {TVM}: An automated {End-to-End} optimizing compiler for deep learning T Chen, T Moreau, Z Jiang, L Zheng, E Yan, H Shen, M Cowan, L Wang, ... 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018 | 1728 | 2018 |
| Automatic generation of high-performance quantized machine learning kernels M Cowan, T Moreau, T Chen, J Bornholt, L Ceze Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020 | 49 | 2020 |
| Porcupine: A synthesizing compiler for vectorized homomorphic encryption M Cowan, D Dangwal, A Alaghi, C Trippel, VT Lee, B Reagen Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021 | 37 | 2021 |
| Riptide: Fast end-to-end binarized neural networks J Fromm, M Cowan, M Philipose, L Ceze, S Patel Proceedings of Machine Learning and Systems 2, 379-389, 2020 | 35 | 2020 |
| {TACCL}: Guiding Collective Algorithm Synthesis using Communication Sketches A Shah, V Chidambaram, M Cowan, S Maleki, M Musuvathi, T Mytkowicz, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 33* | 2023 |
| Exploring computation-communication tradeoffs in camera systems A Mazumdar, T Moreau, S Kim, M Cowan, A Alaghi, L Ceze, M Oskin, ... 2017 IEEE International Symposium on Workload Characterization (IISWC), 177-186, 2017 | 19 | 2017 |
| Mscclang: Microsoft collective communication language M Cowan, S Maleki, M Musuvathi, O Saarikivi, Y Xiong Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 17* | 2023 |
| Automating generation of low precision deep learning operators M Cowan, T Moreau, T Chen, L Ceze arXiv preprint arXiv:1810.11066, 2018 | 16 | 2018 |
| Analysis and mitigations of reverse engineering attacks on local feature descriptors D Dangwal, VT Lee, HJ Kim, T Shen, M Cowan, R Shah, C Trippel, ... arXiv preprint arXiv:2105.03812, 2021 | 10 | 2021 |
| Sok: Opportunities for software-hardware-security codesign for next generation secure computing D Dangwal, M Cowan, A Alaghi, VT Lee, B Reagen, C Trippel Proceedings of the 9th International Workshop on Hardware and Architectural …, 2020 | 5 | 2020 |
| Mitigating Reverse Engineering Attacks on Local Feature Descriptors. D Dangwal, VT Lee, HJ Kim, T Shen, M Cowan, R Shah, C Trippel, ... BMVC, 106, 2021 | 3 | 2021 |
| Supplementary Material: Mitigating Reverse Engineering Attacks on Local Feature D Dangwal, VT Lee, HJ Kim, T Shen, M Cowan, R Shah, C Trippel, ... | | 2021 |
| Automated Generation of Domain Specific Kernels M Cowan University of Washington, 2021 | | 2021 |
| Towards a Standardized Representation for Deep Learning Collective Algorithms J Yoo, W Won, M Cowan, N Jiang, B Klenk, T Krishna Machine Learning for Computer Architecture and Systems 2024, 0 | | |
