| Learned Hardware/Software Co-Design of Neural Accelerators Z Shi, C Sakhuja, M Hashemi, K Swersky, C Lin arXiv preprint arXiv:2010.02075, 2020 | 17 | 2020 |
| Leveraging Domain Information for the Efficient Automated Design of Deep Learning Accelerators C Sakhuja, Z Shi, C Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 16 | 2023 |
| Using Bayesian Optimization for Hardware/Software Co-Design of Neural Accelerators Z Shi, C Sakhuja, M Hashemi, K Swersky, C Lin Workshop on ML for Systems at the Conference on Neural Information …, 2020 | 8 | 2020 |
| Combining branch history and value history for improved value prediction C Sakhuja, A Subramanian, P Joshi, A Jain, C Lin Second Championship Value Prediction, 2019 | 6 | 2019 |
| Polaris: Multi-Fidelity Design Space Exploration of Deep Learning Accelerators C Sakhuja, C Hong, C Lin arXiv preprint arXiv:2412.15548, 2024 | | 2024 |
| Incorporating Prior Knowledge to Efficiently Design Deep Learning Accelerators C Sakhuja The University of Texas at Austin, 2024 | | 2024 |
Calvin LinProfessor of Computer Science, The University of Texas at Austincs.utexas.edu의 이메일 확인됨