The gem5 simulator: Version 20.0+ J Lowe-Power, AM Ahmad, A Akram, M Alian, R Amslinger, M Andreozzi, ... arXiv preprint arXiv:2007.03152, 2020 | 176 | 2020 |
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ... Proceedings of Machine Learning and Systems 3, 517-532, 2021 | 172 | 2021 |
Compressing rnns for iot devices by 15-38x using kronecker products U Thakker, J Beu, D Gope, C Zhou, I Fedorov, G Dasika, M Mattina arXiv preprint arXiv:1906.02876, 2019 | 38 | 2019 |
Architectural support for server-side PHP processing D Gope, DJ Schlais, MH Lipasti 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture …, 2017 | 28 | 2017 |
Collapsible linear blocks for super-efficient super resolution K Bhardwaj, M Milosavljevic, L O'Neil, D Gope, R Matas, A Chalfin, ... Proceedings of Machine Learning and Systems 4, 529-547, 2022 | 27 | 2022 |
Run-time efficient RNN compression for inference on edge devices U Thakker, J Beu, D Gope, G Dasika, M Mattina 2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 25 | 2019 |
Ternary hybrid neural-tree networks for highly constrained iot applications D Gope, G Dasika, M Mattina Proceedings of Machine Learning and Systems 1, 190-200, 2019 | 23 | 2019 |
Atomic SC for simple in-order processors D Gope, MH Lipasti 2014 IEEE 20th International Symposium on High Performance Computer …, 2014 | 20 | 2014 |
Bias-free branch predictor D Gope, MH Lipasti 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 521-532, 2014 | 19 | 2014 |
Ternary mobilenets via per-layer hybrid filter banks D Gope, J Beu, U Thakker, M Mattina Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
Pushing the limits of rnn compression U Thakker, I Fedorov, J Beu, D Gope, C Zhou, G Dasika, M Mattina 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 16 | 2019 |
Rank and run-time aware compression of NLP applications U Thakker, J Beu, D Gope, G Dasika, M Mattina arXiv preprint arXiv:2010.03193, 2020 | 11 | 2020 |
The gem5 simulator: Version 20.0+. CoRR abs/2007.03152 (2020) J Lowe-Power, AM Ahmad, A Akram, M Alian, R Amslinger, M Andreozzi, ... arXiv preprint arXiv:2007.03152, 2020 | 10 | 2020 |
Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers. arXiv 2021 C Banbury, C Zhou, I Fedorov, RM Navarro, U Thakkar, D Gope, VJ Reddi, ... arXiv preprint arXiv:2010.11267, 0 | 9 | |
Understanding the impact of dynamic channel pruning on conditionally parameterized convolutions R Raju, D Gope, U Thakker, J Beu Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020 | 7 | 2020 |
A case for scoped persist barriers in gpus D Gope, A Basu, S Puthoor, M Meswani Proceedings of the 11th Workshop on General Purpose GPUs, 2-12, 2018 | 7 | 2018 |
Maximizing crosstalk-induced slowdown during path delay test D Gope, DMH Walker 2012 IEEE 30th International Conference on Computer Design (ICCD), 159-166, 2012 | 7 | 2012 |
Aggressive compression of mobilenets using hybrid ternary layers D Gope, JG Beu, U Thakker, M Mattina tinyML Summit, 2020 | 6 | 2020 |
Hash map inlining D Gope, MH Lipasti Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 6 | 2016 |
Pushing the envelope of dynamic spatial gating technologies X Huang, U Thakker, D Gope, J Beu Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020 | 5 | 2020 |