A graph placement methodology for fast chip design A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ... Nature 594 (7862), 207-212, 2021 | 577* | 2021 |
Chameleon: A hybrid secure computation framework for machine learning applications MS Riazi, C Weinert, O Tkachenko, EM Songhori, T Schneider, ... Proceedings of the 2018 on Asia conference on computer and communications …, 2018 | 548 | 2018 |
TinyGarble: Highly compressed and scalable sequential garbled circuits EM Songhori, SU Hussain, AR Sadeghi, T Schneider, F Koushanfar Security and Privacy (SP), 2015 IEEE Symposium on, 411-428, 2015 | 275 | 2015 |
Chip placement with deep reinforcement learning A Mirhoseini, A Goldie, M Yazgan, J Jiang, E Songhori, S Wang, YJ Lee, ... arXiv preprint arXiv:2004.10746, 2020 | 235 | 2020 |
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs A Mirhoseini, EM Songhori, F Koushanfar 2013 IEEE International Conference on Pervasive Computing and Communications …, 2013 | 82 | 2013 |
A full-stack search technique for domain optimized deep learning accelerators D Zhang, S Huda, E Songhori, K Prabhu, Q Le, A Goldie, A Mirhoseini Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 48 | 2022 |
GarbledCPU: A MIPS Processor for Secure Computation in Hardware EM Songhori, S Zeitouni, G Dessouky, T Schneider, AR Sadeghi, ... Design Automation Conference (DAC), 2016 53rd ACM/EDAC/IEEE, 2016 | 40 | 2016 |
Compacting privacy-preserving k-nearest neighbor search using logic synthesis EM Songhori, SU Hussain, AR Sadeghi, F Koushanfar Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015 | 40 | 2015 |
SSketch: An automated framework for streaming sketch-based analysis of big data on fpga BD Rouhani, EM Songhori, A Mirhoseini, F Koushanfar Field-Programmable Custom Computing Machines (FCCM), 2015 IEEE 23rd Annual …, 2015 | 33 | 2015 |
ARM2GC: Succinct garbled processor for secure computation EM Songhori, MS Riazi, SU Hussain, AR Sadeghi, F Koushanfar Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 28 | 2019 |
Automated checkpointing for enabling intensive applications on energy harvesting devices A Mirhoseini, EM Songhori, F Koushanfar International Symposium on Low Power Electronics and Design (ISLPED), 27-32, 2013 | 27 | 2013 |
Perform-ML: Performance optimized machine learning by platform and content aware customization A Mirhoseini, BD Rouhani, EM Songhori, F Koushanfar Proceedings of the 53rd Annual Design Automation Conference, 20, 2016 | 21 | 2016 |
Chime: Checkpointing long computations on interm ittently energized iot devices A Mirhoseini, BD Rouhani, E Songhori, F Koushanfar IEEE Transactions on Multi-Scale Computing Systems 2 (4), 277-290, 2016 | 21 | 2016 |
Toward practical secure stable matching MS Riazi, E M. Songhori, AR Sadeghi, T Schneider, F Koushanfar Proceedings on Privacy Enhancing Technologies 2017 (1), 62-78, 2017 | 17 | 2017 |
Rankmap: A platform-aware framework for distributed learning from dense datasets A Mirhoseini, E Dyer, E M. Songhori, R Baraniuk, F Koushanfar IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2017 | 16* | 2017 |
Automated real-time analysis of streaming big and dense data on reconfigurable platforms BD Rouhani, A Mirhoseini, EM Songhori, F Koushanfar ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (1), 1-22, 2016 | 16 | 2016 |
PriSearch: Efficient Search on Private Data MS Riazi, E M. Songhori, F Koushanfar Proceedings of the 54th Annual Design Automation Conference 2017, 14, 2017 | 11 | 2017 |
Delving into macro placement with reinforcement learning Z Jiang, E Songhori, S Wang, A Goldie, A Mirhoseini, J Jiang, YJ Lee, ... 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-3, 2021 | 10 | 2021 |
A full-stack accelerator search technique for vision applications D Zhang, S Huda, E Songhori, Q Le, A Goldie, A Mirhoseini arXiv preprint arXiv:2105.12842, 2021 | 8 | 2021 |
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M Sadegh Riazi, C Weinert, O Tkachenko, EM Songhori, T Schneider, ... arXiv e-prints, arXiv: 1801.03239, 2018 | 5 | 2018 |