| The elasticity and plasticity in semi-containerized co-locating cloud workload: a view from alibaba trace Q Liu, Z Yu Proceedings of the ACM Symposium on Cloud Computing, 347-360, 2018 | 126 | 2018 |
| Datasize-aware high dimensional configurations auto-tuning of in-memory cluster computing Z Yu, Z Bei, X Qian Proceedings of the Twenty-Third International Conference on Architectural …, 2018 | 106 | 2018 |
| RFHOC: A random-forest approach to auto-tuning hadoop's configuration Z Bei, Z Yu, H Zhang, W Xiong, C Xu, L Eeckhout, S Feng IEEE Transactions on Parallel and Distributed Systems 27 (5), 1470-1483, 2015 | 100 | 2015 |
| Application-aware workload consolidation to minimize both energy consumption and network load in cloud environments N Tziritas, CZ Xu, T Loukopoulos, SU Khan, Z Yu 2013 42nd international conference on parallel processing, 449-457, 2013 | 75 | 2013 |
| System-level max power (SYMPO) a systematic approach for escalating system-level power consumption using synthetic benchmarks K Ganesan, J Jo, WL Bircher, D Kaseridis, Z Yu, LK John Proceedings of the 19th international conference on Parallel architectures …, 2010 | 67 | 2010 |
| A characterization of big data benchmarks W Xiong, Z Yu, Z Bei, J Zhao, F Zhang, Y Zou, X Bai, Y Li, C Xu 2013 IEEE international conference on big data, 118-125, 2013 | 56 | 2013 |
| A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems AA Chandio, K Bilal, N Tziritas, Z Yu, Q Jiang, SU Khan, CZ Xu Cluster computing 17, 1349-1367, 2014 | 52 | 2014 |
| Configuring in-memory cluster computing using random forest Z Bei, Z Yu, N Luo, C Jiang, C Xu, S Feng Future Generation Computer Systems 79, 1-15, 2018 | 37 | 2018 |
| Barrier-aware warp scheduling for throughput processors Y Liu, Z Yu, L Eeckhout, VJ Reddi, Y Luo, X Wang, Z Wang, C Xu Proceedings of the 2016 International Conference on Supercomputing, 1-12, 2016 | 34 | 2016 |
| Simulating the future kilo-x86-64 core processors and their infrastructure A Portero, A Scionti, Z Yu, P Faraboschi, C Concatto, L Carro, A Garbade, ... Proceedings of the 45th Annual Simulation Symposium, 1-7, 2012 | 30 | 2012 |
| Teraflux: Exploiting tera-device computing challenges A Portero, Z Yu, R Giorgi Procedia Computer Science 7, 146-147, 2011 | 30 | 2011 |
| GPGPU-MiniBench: accelerating GPGPU micro-architecture simulation Z Yu, L Eeckhout, N Goswami, T Li, LK John, H Jin, C Xu, J Wu IEEE Transactions on Computers 64 (11), 3153-3166, 2015 | 28 | 2015 |
| FractalMRC: Online cache miss rate curve prediction on commodity systems L He, Z Yu, H Jin 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 22 | 2012 |
| Gml: efficiently auto-tuning flink's configurations via guided machine learning Y Guo, H Shan, S Huang, K Hwang, J Fan, Z Yu IEEE Transactions on Parallel and Distributed Systems 32 (12), 2921-2935, 2021 | 21 | 2021 |
| Adaptive memory-side last-level GPU caching X Zhao, A Adileh, Z Yu, Z Wang, A Jaleel, L Eeckhout Proceedings of the 46th international symposium on computer architecture …, 2019 | 21 | 2019 |
| Counterminer: Mining big performance data from hardware counters Y Lv, B Sun, Q Luo, J Wang, Z Yu, X Qian 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 20 | 2018 |
| Atomic-level flatness on oxygen-free copper surface in lapping and chemical mechanical polishing D Liu, Z Zhang, J Feng, Z Yu, F Meng, G Xu, J Wang, W Wen, W Liu Nanoscale Advances 4 (20), 4263-4271, 2022 | 19 | 2022 |
| Early results from ERA—embedded reconfigurable architectures S Wong, A Brandon, F Anjam, R Seedorf, R Giorgi, Z Yu, N Puzović, ... 2011 9th IEEE International Conference on Industrial Informatics, 816-822, 2011 | 19 | 2011 |
| T-Star (T*): An x86-64 ISA Extension to support thread execution on many cores A Portero, Z Yu, R Giorgi HiPEAC ACACES, 277-280, 2011 | 19 | 2011 |
| Performance modeling for spark using svm N Luo, Z Yu, Z Bei, C Xu, C Jiang, L Lin 2016 7th International Conference on Cloud Computing and Big Data (CCBD …, 2016 | 17 | 2016 |
