From high-level deep neural models to FPGAs H Sharma, J Park, D Mahajan, E Amaro, JK Kim, C Shao, A Mishra, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 640 | 2016 |
Tabla: A unified template-based framework for accelerating statistical machine learning D Mahajan, J Park, E Amaro, H Sharma, A Yazdanbakhsh, JK Kim, ... 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 214 | 2016 |
Dnnweaver: From high-level deep network models to fpga acceleration H Sharma, J Park, E Amaro, B Thwaites, P Kotha, A Gupta, JK Kim, ... the Workshop on Cognitive Architectures, 2016 | 80 | 2016 |
Scale-out acceleration for machine learning J Park, H Sharma, D Mahajan, JK Kim, P Olds, H Esmaeilzadeh Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 64 | 2017 |
In-RDBMS hardware acceleration of advanced analytics D Mahajan, JK Kim, J Sacks, A Ardalan, A Kumar, H Esmaeilzadeh arXiv preprint arXiv:1801.06027, 2018 | 60 | 2018 |