| Efficient Data Supply for Hardware Accelerators with Prefetching and Access/Execute Decoupling T Chen, GE Suh Proceedings of the 49th International Symposium on Microarchitecture (MICRO), 2016 | 54 | 2016 |
| An Architectural Framework for Accelerating Dynamic Parallel Algorithms on Reconfigurable Hardware T Chen, S Srinath, C Batten, GE Suh Proceedings of the 51st IEEE/ACM International Symposium on …, 2018 | 38 | 2018 |
| Slack-aware opportunistic monitoring for real-time systems D Lo, M Ismail, T Chen, GE Suh 2014 IEEE 20th Real-Time and Embedded Technology and Applications Symposium …, 2014 | 33 | 2014 |
| Execution Time Prediction for Energy-Efficient Hardware Accelerators T Chen, A Rucker, GE Suh Proceedings of the 48th International Symposium on Microarchitecture, 457-469, 2015 | 23 | 2015 |
| Run-time monitoring with adjustable overhead using dataflow-guided filtering D Lo, T Chen, M Ismail, GE Suh 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 10 | 2015 |
| Hyperscale Hardware Optimized Neural Architecture Search S Li, G Andersen, T Chen, L Cheng, J Grady, D Huang, QV Le, A Li, X Li, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 6 | 2023 |
| A hardware accelerator for speech recognition applications T Chen, J Zheng, X Zhang, S Cai, Y Chen 2011 9th IEEE International Conference on ASIC, 760-763, 2011 | 2 | 2011 |
| Execution time prediction for energy-efficient computer systems D Lo, T Chen, GE Suh, S Taejoon US Patent 10,949,260, 2021 | | 2021 |
| Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators T Chen Cornell University, 2018 | | 2018 |
Edward SuhMeta / Cornell UniversityZweryfikowany adres z csl.cornell.edu
