| Dynamicmr: A dynamic slot allocation optimization framework for mapreduce clusters S Tang, BS Lee, B He IEEE Transactions on Cloud Computing 2 (3), 333-347, 2014 | 87 | 2014 |
| Dynamic job ordering and slot configurations for MapReduce workloads S Tang, BS Lee, B He IEEE Transactions on Services Computing 9 (1), 4-17, 2015 | 40 | 2015 |
| Long-term resource fairness: Towards economic fairness on pay-as-you-use computing systems S Tang, BS Lee, B He, H Liu Proceedings of the 28th ACM international conference on Supercomputing, 251-260, 2014 | 37 | 2014 |
| Gait rhythm fluctuation analysis for neurodegenerative diseases by empirical mode decomposition P Ren, S Tang, F Fang, L Luo, L Xu, ML Bringas-Vega, D Yao, ... IEEE Transactions on Biomedical Engineering 64 (1), 52-60, 2016 | 35 | 2016 |
| Dynamic slot allocation technique for MapReduce clusters S Tang, BS Lee, B He 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013 | 31 | 2013 |
| Easypdp: An efficient parallel dynamic programming runtime system for computational biology S Tang, C Yu, J Sun, BS Lee, T Zhang, Z Xu, H Wu IEEE Transactions on Parallel and Distributed Systems 23 (5), 862-872, 2011 | 31 | 2011 |
| Fair resource allocation for data-intensive computing in the cloud S Tang, BS Lee, B He IEEE Transactions on Services Computing 11 (1), 20-33, 2016 | 29 | 2016 |
| CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment X Chen, C Wang, S Tang, C Yu, Q Zou BMC bioinformatics 18 (1), 1-10, 2017 | 27 | 2017 |
| Mrorder: Flexible job ordering optimization for online mapreduce workloads S Tang, BS Lee, B He European Conference on Parallel Processing, 291-304, 2013 | 17 | 2013 |
| EasyHPS: A multilevel hybrid parallel system for dynamic programming J Du, C Yu, J Sun, C Sun, S Tang, Y Yin 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 17 | 2013 |
| Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures S Tang, BS He, S Zhang, Z Niu SC'16: Proceedings of the International Conference for High Performance …, 2016 | 16 | 2016 |
| Towards economic fairness for big data processing in pay-as-you-go cloud computing S Tang, BS Lee, B He 2014 IEEE 6th International Conference on Cloud Computing Technology and …, 2014 | 14 | 2014 |
| Speedup for multi-level parallel computing S Tang, BS Lee, B He 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 14 | 2012 |
| Gemini: An adaptive performance-fairness scheduler for data-intensive cluster computing Z Niu, S Tang, B He 2015 IEEE 7th International Conference on Cloud Computing Technology and …, 2015 | 13 | 2015 |
| Long-term multi-resource fairness for pay-as-you use computing systems S Tang, Z Niu, B He, BS Lee, C Yu IEEE Transactions on Parallel and Distributed Systems 29 (5), 1147-1160, 2018 | 12 | 2018 |
| GAugur: Quantifying performance interference of colocated games for improving resource utilization in cloud gaming Y Li, C Shan, R Chen, X Tang, W Cai, S Tang, X Liu, G Wang, X Gong, ... Proceedings of the 28th international symposium on high-performance parallel …, 2019 | 9 | 2019 |
| A general and fast distributed system for large-scale dynamic programming applications C Wang, C Yu, S Tang, J Xiao, J Sun, X Meng Parallel Computing 60, 1-21, 2016 | 8 | 2016 |
| An adaptive efficiency-fairness meta-scheduler for data-intensive computing Z Niu, S Tang, B He IEEE Transactions on Services Computing 12 (6), 865-879, 2016 | 6 | 2016 |
| A survey on spark ecosystem: Big data processing infrastructure, machine learning, and applications S Tang, B He, C Yu, Y Li, K Li IEEE Transactions on Knowledge and Data Engineering, 2020 | 5 | 2020 |
| Asw: accelerating Smith–Waterman algorithm on coupled CPU–GPU architecture H Zou, S Tang, C Yu, H Fu, Y Li, W Tang International Journal of Parallel Programming 47 (3), 388-402, 2019 | 5 | 2019 |
