| Ako: Decentralised deep learning with partial gradient exchange P Watcharapichat, VL Morales, RC Fernandez, P Pietzuch Proceedings of the Seventh ACM Symposium on Cloud Computing, 84-97, 2016 | 91 | 2016 |
| Crossbow: Scaling deep learning with small batch sizes on multi-gpu servers A Koliousis, P Watcharapichat, M Weidlich, L Mai, P Costa, P Pietzuch arXiv preprint arXiv:1901.02244, 2019 | 71 | 2019 |
| Meta-dataflows: Efficient exploratory dataflow jobs R Castro Fernandez, W Culhane, P Watcharapichat, M Weidlich, ... Proceedings of the 2018 International Conference on Management of Data, 1157 …, 2018 | 7 | 2018 |
| Browserflow: Imprecise data flow tracking to prevent accidental data disclosure I Papagiannis, P Watcharapichat, D Muthukumaran, P Pietzuch Proceedings of the 17th International Middleware Conference, 1-13, 2016 | 4 | 2016 |
| Browserflow: Imprecise data flow tracking to prevent accidental data disclosure I Papagiannis, P Watcharapichat, D Muthukumaran, P Pietzuch Proceedings of the 17th International Middleware Conference, 1-13, 2016 | 4 | 2016 |
| Image processing and classification algorithm to detect cancerous cells morphology when using in-vivo probe-based confocal laser endomicroscopy for the lower gastrointestinal tract P Watcharapichat Department of Computing. Imperial College 65, 2012 | 3 | 2012 |
| Improving the performance of dataflow systems for deep neural network training P Watcharapichat Imperial College London, 2017 | | 2017 |
| Ako: Decentralised Deep Learning with Partial Gradient Exchange P Pietzuch, P Watcharapichat, V Lopez Morales, R Castro Fernandez ACM, 0 | | |
| CrossBow: Scaling Deep Learning on Multi-GPU Servers A Koliousis, P Watcharapichat, M Weidlich, P Costa, P Pietzuch | | |
