| Analyzing machine learning workloads using a detailed GPU simulator J Lew, DA Shah, S Pati, S Cattell, M Zhang, A Sandhupatla, C Ng, N Goli, ... 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 77 | 2019 |
| Label Encoding for Regression Networks D Shah, ZY Xue, T Aamodt International Conference on Learning Representations, 2021 | 11 | 2021 |
| Edge: Event-driven gpu execution TH Hetherington, M Lubeznov, D Shah, TM Aamodt 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 10 | 2019 |
| Energy-Efficient Realtime Motion Planning D Shah, N Yang, TM Aamodt Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 7 | 2023 |
| Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots D Shah, ZY Xue, K Pattabiraman, TM Aamodt ACM Transactions on Cyber-Physical Systems, 2023 | 1 | 2023 |
| Characterizing and Improving the Resilience of Accelerators in Autonomous Robots D Shah, ZY Xue, K Pattabiraman, TM Aamodt arXiv preprint arXiv:2110.08906, 2021 | 1 | 2021 |
| Learning Label Encodings for Deep Regression D Shah, TM Aamodt International Conference on Learning Representations, 2023 | | 2023 |
| Lightweight Forth Programmable NoCs VBY Kumar, D Shah, M Datar, SB Patkar 2018 31st International Conference on VLSI Design and 2018 17th …, 2018 | | 2018 |
