| Asynchrony begets momentum, with an application to deep learning I Mitliagkas, C Zhang, S Hadjis, C Ré 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 106 | 2016 |
| Plasticine: A reconfigurable architecture for parallel patterns R Prabhakar, Y Zhang, D Koeplinger, M Feldman, T Zhao, S Hadjis, ... 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture …, 2017 | 90 | 2017 |
| Spatial: A language and compiler for application accelerators D Koeplinger, M Feldman, R Prabhakar, Y Zhang, S Hadjis, R Fiszel, ... Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 59 | 2018 |
| Caffe con Troll: Shallow Ideas to Speed Up Deep Learning S Hadjis, F Abuzaid, C Zhang, C Ré DanaC'15- Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015 | 59* | 2015 |
| Impact of FPGA architecture on resource sharing in high-level synthesis S Hadjis, A Canis, JH Anderson, J Choi, K Nam, S Brown, T Czajkowski Proceedings of the ACM/SIGDA international symposium on Field Programmable …, 2012 | 55 | 2012 |
| Omnivore: An optimizer for multi-device deep learning on cpus and gpus S Hadjis, C Zhang, I Mitliagkas, D Iter, C Ré arXiv preprint arXiv:1606.04487, 2016 | 49 | 2016 |
| Automating the design of processor/accelerator embedded systems with legup high-level synthesis B Fort, A Canis, J Choi, N Calagar, R Lian, S Hadjis, YT Chen, M Hall, ... 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing …, 2014 | 37 | 2014 |
| Profiling-driven multi-cycling in FPGA high-level synthesis S Hadjis, A Canis, R Sobue, Y Hara-Azumi, H Tomiyama, J Anderson 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 31-36, 2015 | 17 | 2015 |
| Coagulation of human prostate volumes with MRI‐controlled transurethral ultrasound therapy: Results in gel phantoms WA N'djin, M Burtnyk, I Kobelevskiy, S Hadjis, M Bronskill, R Chopra Medical physics 39 (7Part1), 4524-4536, 2012 | 12 | 2012 |
| Importance Sampling over Sets: A New Probabilistic Inference Scheme S Hadjis, S Ermon Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence, 2015 | 8 | 2015 |
| TensorFlow to Cloud FPGAs: Tradeoffs for Accelerating Deep Neural Networks S Hadjis, K Olukotun 2019 29th International Conference on Field Programmable Logic and …, 2019 | 5 | 2019 |
| Plasticine: a reconfigurable accelerator for parallel patterns R Prabhakar, Y Zhang, D Koeplinger, M Feldman, T Zhao, S Hadjis, ... IEEE Micro 38 (3), 20-31, 2018 | 3 | 2018 |
