| Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems X Yang, Z Zhou, S Wallace, Z Lan, W Tang, S Coghlan, ME Papka Proceedings of the International Conference on High Performance Computing …, 2013 | 111 | 2013 |
| Reducing energy costs for IBM Blue Gene/P via power-aware job scheduling Z Zhou, Z Lan, W Tang, N Desai Job Scheduling Strategies for Parallel Processing: 17th International …, 2014 | 71 | 2014 |
| I/O-aware batch scheduling for petascale computing systems Z Zhou, X Yang, D Zhao, P Rich, W Tang, J Wang, Z Lan 2015 IEEE International Conference on Cluster Computing, 254-263, 2015 | 60 | 2015 |
| Balancing job performance with system performance via locality-aware scheduling on torus-connected systems X Yang, Z Zhou, W Tang, X Zheng, J Wang, Z Lan 2014 IEEE International Conference on Cluster Computing (CLUSTER), 140-148, 2014 | 34 | 2014 |
| Improving batch scheduling on blue gene/q by relaxing 5d torus network allocation constraints Z Zhou, X Yang, Z Lan, P Rich, W Tang, V Morozov, N Desai 2015 IEEE International Parallel and Distributed Processing Symposium, 439-448, 2015 | 31 | 2015 |
| Application power profiling on IBM Blue Gene/Q S Wallace, Z Zhou, V Vishwanath, S Coghlan, J Tramm, Z Lan, ME Papka Parallel Computing 57, 73-86, 2016 | 26 | 2016 |
| Exploring plan-based scheduling for large-scale computing systems X Zheng, Z Zhou, X Yang, Z Lan, J Wang 2016 IEEE International Conference on Cluster Computing (CLUSTER), 259-268, 2016 | 22 | 2016 |
| System-wide trade-off modeling of performance, power, and resilience on petascale systems L Yu, Z Zhou, Y Fan, ME Papka, Z Lan The Journal of Supercomputing 74 (7), 3168-3192, 2018 | 20 | 2018 |
| Quantitative modeling of power performance tradeoffs on extreme scale systems L Yu, Z Zhou, S Wallace, ME Papka, Z Lan Journal of Parallel and Distributed Computing 84, 1-14, 2015 | 17 | 2015 |
| Toward efficient and flexible metadata indexing of big data systems D Zhao, K Qiao, Z Zhou, T Li, Z Lu, X Xu IEEE Transactions on Big Data 3 (1), 107-117, 2016 | 15 | 2016 |
| I/O-aware bandwidth allocation for petascale computing systems Z Zhou, X Yang, D Zhao, P Rich, W Tang, J Wang, Z Lan Parallel Computing 58, 107-116, 2016 | 5 | 2016 |
| Improving batch scheduling on blue Gene/Q by relaxing network allocation constraints Z Zhou, X Yang, Z Lan, P Rich, W Tang, V Morozov, N Desai IEEE Transactions on Parallel and Distributed Systems 27 (11), 3269-3282, 2016 | 5 | 2016 |
| Job Scheduling Strategies for Parallel Processing: 17th International Workshop, JSSPP 2013, Boston, MA, USA, May 24, 2013 Revised Selected Papers Z Zhou, Z Lan, W Tang, N Desai Berlin, Heidelberg: Springer Berlin Heidelberg, 2014 | 5 | 2014 |
| Exploiting multi‐cores for efficient interchange of large messages in distributed systems D Zhao, K Qiao, Z Zhou, T Li, X Zhou, I Raicu Concurrency and Computation: Practice and Experience 28 (13), 3568-3585, 2016 | 4 | 2016 |
| PuPPET: A New Power-Performance Modeling Tool for High Performance Computing L Yu, Z Zhou, S Wallace, ME Papka, Z Lan Illinois Institute of Technology, Tech. Rep, 2015 | 4 | 2015 |
| Bandwidth-aware resource management for extreme scale systems Z Zhou, X Yang, Z Lan, P Rich, W Tang, V Morozov, N Desai Int. Conf. High Perform. Comput., Netw., Storage Anal.(SC14), poster session, 2014 | 4 | 2014 |
| Evaluating performance impacts of delayed failure repairing on large-scale systems Z Zhou, W Tang, Z Zheng, Z Lan, N Desai 2011 IEEE International Conference on Cluster Computing, 532-536, 2011 | 4 | 2011 |
| TOPPER: System-Wide Trade-Off Modeling for Performance, Power, and Resilience on Petascale Systems L Yu, Z Zhou, S Wallace, ME Papka, Z Lan Illinois Institute of Technology, Tech. Rep, 2015 | 2 | 2015 |
| Multi-dimensional batch scheduling framework for high-end supercomputers Z Zhou Illinois Institute of Technology, 2016 | | 2016 |
