| Maximizing performance under a power cap: A comparison of hardware, software, and hybrid techniques H Zhang, H Hoffmann ACM SIGPLAN Notices 51 (4), 545-559, 2016 | 217 | 2016 |
| A probabilistic graphical model-based approach for minimizing energy under performance constraints N Mishra, H Zhang, JD Lafferty, H Hoffmann ACM SIGARCH Computer Architecture News 43 (1), 267-281, 2015 | 129 | 2015 |
| A quantitative evaluation of the RAPL power control system H Zhang, H Hoffman Feedback Computing 6, 2015 | 50 | 2015 |
| Copper: Soft real-time application performance using hardware power capping C Imes, H Zhang, K Zhao, H Hoffmann 2019 IEEE International Conference on Autonomic Computing (ICAC), 31-41, 2019 | 30 | 2019 |
| Argo: An exascale operating system and runtime S Perarnau, R Gupta, P Beckman, P Balaji, C Bordage, G Bosilca, ... The International Conference for High Performance Computing, Networking …, 2015 | 20 | 2015 |
| Energy-efficient scheduling for best-effort interactive services to achieve high response quality Z Du, H Sun, Y He, Y He, DA Bader, H Zhang 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 18 | 2013 |
| PoDD power-capping dependent distributed applications H Zhang, H Hoffmann Proceedings of the International Conference for High Performance Computing …, 2019 | 15 | 2019 |
| Performance & energy tradeoffs for dependent distributed applications under system-wide power caps H Zhang, H Hoffmann Proceedings of the 47th International Conference on Parallel Processing, 1-11, 2018 | 10 | 2018 |
| Handing dvfs to hardware: Using power capping to control software performance C Imes, H Zhang, K Zhao, H Hoffmann Technical Report, 2018 | 8 | 2018 |
| Penelope: Peer-to-peer Power Management T Srivastava, H Zhang, H Hoffmann Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | | 2022 |
| Maximizing Performance in Power-Constrained Computing Systems H Zhang The University of Chicago, 2019 | | 2019 |
