| Diagnosing Performance Variations in HPC Applications Using Machine Learning O Tuncer, E Ates, Y Zhang, A Turk, J Brandt, VJ Leung, M Egele, ... International Supercomputing Conference, 355-373, 2017 | 130 | 2017 |
| Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning O Tuncer, E Ates, Y Zhang, A Turk, J Brandt, VJ Leung, M Egele, ... IEEE Transactions on Parallel and Distributed Systems 30 (4), 883-896, 2019 | 81 | 2019 |
| An empirical survey of performance and energy efficiency variation on Intel processors A Marathe, Y Zhang, G Blanks, N Kumbhare, G Abdulla, BL Rountree Energy Efficient Supercomputing (E2SC) 2017, 2017 | 52 | 2017 |
| Quark-lepton complementarity and self-complementarity in different schemes Y Zhang, X Zhang, BQ Ma Physical Review D 86 (9), 093019, 2012 | 32 | 2012 |
| HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations E Ates, Y Zhang, B Aksar, J Brandt, VJ Leung, M Egele, AK Coskun Proceedings of the 48th International Conference on Parallel Processing, 40, 2019 | 22 | 2019 |
| EnergyQARE: QoS-Aware Data Center Participation in Smart Grid Regulation Service Reserve Provision H Chen, Y Zhang, MC Caramanis, AK Coskun | 22 | 2018 |
| HPC Data Center Participation in Demand Response: an Adaptive Policy with QoS Assurance Y Zhang, DC Wilson, IC Paschalidis, AK Coskun IEEE Transactions on Sustainable Computing, 2021 | 17 | 2021 |
| Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems B Aksar, Y Zhang, E Ates, B Schwaller, O Aaziz, VJ Leung, J Brandt, ... International Supercomputing Conference, 2021 | 14 | 2021 |
| Level-Spread: A New Job Allocation Policy for Dragonfly Networks Y Zhang, O Tuncer, F Kaplan, K Olcoz, VJ Leung, AK Coskun IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2018 | 14 | 2018 |
| Quantifying the impact of network congestion on application performance and network metrics Y Zhang, T Groves, B Cook, NJ Wright, AK Coskun 2020 IEEE International Conference on Cluster Computing (CLUSTER), 162-168, 2020 | 13 | 2020 |
| Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees Y Zhang, IC Paschalidis, AK Coskun ACM International Conference on Future Energy Systems (e-Energy), e-Energy'19, 2019 | 12 | 2019 |
| A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC Y Zhang, DC Wilson, IC Paschalidis, AK Coskun Design, Automation and Test in Europe Conference, 2021 | 8 | 2021 |
| Task Mapping on a Dragonfly Supercomputer O Tuncer, Y Zhang, VJ Leung, AK Coskun IEEE High Performance Extreme Computing Conference (HPEC ‘17), 2017 | 7 | 2017 |
| Extracting mass hierarchy information from simple analysis of neutrino mass splitting Y Zhang, BQ Ma Modern Physics Letters A 29 (18), 1450096, 2014 | 3 | 2014 |
| Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation Y Zhang, B Aksar, O Aaziz, B Schwaller, J Brandt, V Leung, M Egele, ... | 2 | 2021 |
| Data center and load aggregator coordination towards electricity demand response Y Zhang, A Tsiligkaridis, IC Paschalidis, AK Coskun Sustainable Computing: Informatics and Systems 42, 100957, 2024 | 1 | 2024 |
| Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance Y Zhang, Q Wang, Z Lin, P Xu, B Wang European Conference on Computer Systems (EuroSys'24), 2024 | | 2024 |
| Experiments on Data Center Participation in Demand Response Programs Y Zhang, O Tuncer, A Tsiligkaridis, M Caramanis, IC Paschalidis, ... IEEE High Performance Extreme Computing Conference (HPEC ‘18), 2018 | | 2018 |
