| Exploration of low numeric precision deep learning inference using intel® fpgas P Colangelo, N Nasiri, E Nurvitadhi, A Mishra, M Margala, K Nealis 2018 IEEE 26th annual international symposium on field-programmable custom …, 2018 | 83 | 2018 |
| Sparkcl: A unified programming framework for accelerators on heterogeneous clusters O Segal, P Colangelo, N Nasiri, Z Qian, M Margala arXiv preprint arXiv:1505.01120, 2015 | 60 | 2015 |
| In-package domain-specific ASICs for intel® stratix® 10 FPGAs: A case study of accelerating deep learning using tensortile ASIC E Nurvitadhi, J Cook, A Mishra, D Marr, K Nealis, P Colangelo, A Ling, ... 2018 28th International Conference on Field Programmable Logic and …, 2018 | 39 | 2018 |
| xt: White Paper of the INFN-CSN1 A Andreazza, M Anselmino, P Azzi, W Baldini, R Barbieri, F Bedeschi, ... FRASCATI PHYSICS SERIES 60, 1-302, 2015 | 31 | 2015 |
| Application of convolutional neural networks on Intel® Xeon® processor with integrated FPGA P Colangelo, E Lübbers, R Huang, M Margala, K Nealis 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 17 | 2017 |
| Artificial neural network and accelerator co-design using evolutionary algorithms P Colangelo, O Segal, A Speicher, M Margala 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2019 | 15 | 2019 |
| Aparapi-UCores: A high level programming framework for unconventional cores O Segal, P Colangelo, N Nasiri, Z Qian, M Margala 2015 IEEE high performance extreme computing conference (HPEC), 1-6, 2015 | 10 | 2015 |
| Fine-grained acceleration of binary neural networks using intel® xeon® processor with integrated fpga P Colangelo, R Huang, E Luebbers, M Margala, K Nealis 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 9 | 2017 |
| Automl for multilayer perceptron and fpga co-design P Colangelo, O Segal, A Speicher, M Margala 2020 IEEE 33rd International System-on-Chip Conference (SOCC), 265-266, 2020 | 5 | 2020 |
| Bfloat MLP training accelerator for FPGAs A Hagiescu, M Langhammer, B Pasca, P Colangelo, J Thong, N Ilkhani 2019 International Conference on ReConFigurable Computing and FPGAs …, 2019 | 4 | 2019 |
| Evolutionary cell aided design for neural network architectures P Colangelo, O Segal, A Speicher, M Margala arXiv preprint arXiv:1903.02130, 2019 | 3 | 2019 |
| What next: white paper of the INFN-CSN1: proposal for a long term strategy for accelerator based experiments A Andreazza, M Anselmino, P Azzi, W Baldini, R Barbieri, F Bedeschi, ... FRASCATI PHYSICS SERIES 60, 2015 | 1 | 2015 |
| Automated Hardware and Neural Network Architecture co-design of FPGA accelerators using multi-objective Neural Architecture Search P Colangelo, O Segal, A Speicher, M Margala 2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin …, 2020 | | 2020 |
| Sparse Persistent GEMM Accelerator using OpenCL for Intel FPGAs P Colangelo, S Sengupta, M Margala 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-6, 2020 | | 2020 |
| Document classification systems in heterogeneous computing environments N Nasiri, P Colangelo, O Segal, M Margala, W Vanderbauwhede 2016 26th International Workshop on Power and Timing Modeling, Optimization …, 2016 | | 2016 |
| What next: White Paper of CSN1 Proposal for a long term strategy for accelerator based experiments F Bedeschi, R Tenchini, J Walsh, A Andreazza, M Anselmino, P Azzi, ... FRASCATI PHYSICS SERIES 60, 1-302, 2015 | | 2015 |
| Kermin Fleming (Intel) A Dehon, A Koch, A Schmidt, B Rouhani, B Hutchings, C Plessl, C Bobda, ... | | |
| Jason Agron, Intel Jason Anderson, University of Toronto David Andrews, University of Arkansas Kubilay Atasu, IBM K Bazargan, J Becker, M Blott, C Bobda, D Boland, G Botella, ... | | |
