| Dadiannao: A machine-learning supercomputer Y Chen, T Luo, S Liu, S Zhang, L He, J Wang, L Li, T Chen, Z Xu, N Sun, ... 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 609-622, 2014 | 1107 | 2014 |
| Scalable parallel computing: technology, architecture, programming K Hwang, Z Xu McGraw-Hill, Inc., 1998 | 807 | 1998 |
| RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems Y He, R Lee, Y Huai, Z Shao, N Jain, X Zhang, Z Xu 2011 IEEE 27th International Conference on Data Engineering, 1199-1208, 2011 | 390 | 2011 |
| Modeling communication overhead: MPI and MPL performance on the IBM SP2 Z Xu, K Hwang IEEE Parallel & Distributed Technology: Systems & Applications 4 (1), 9-24, 1996 | 185 | 1996 |
| DianNao family: energy-efficient hardware accelerators for machine learning Y Chen, T Chen, Z Xu, N Sun, O Temam Communications of the ACM 59 (11), 105-112, 2016 | 109 | 2016 |
| Dadiannao: A neural network supercomputer T Luo, S Liu, L Li, Y Wang, S Zhang, T Chen, Z Xu, O Temam, Y Chen IEEE Transactions on Computers 66 (1), 73-88, 2016 | 106 | 2016 |
| The research on VEGA grid architecture Z Xu, W Li Journal of Computer Research and Development 39 (8), 923-929, 2002 | 106 | 2002 |
| Designing SSI clusters with hierarchical checkpointing and single I/O space K Hwang, H Jin, E Chow, CL Wang, Z Xu IEEE concurrency 7 (1), 60-69, 1999 | 97 | 1999 |
| Grid resource discovery based on a routing-transferring model W Li, Z Xu, F Dong, J Zhang International Workshop on Grid Computing, 145-156, 2002 | 89 | 2002 |
| Scalable parallel computers for real-time signal processing K Hwang, Z Xu IEEE signal processing magazine 13 (4), 50-66, 1996 | 85 | 1996 |
| Mapping global shipping density from AIS data L Wu, Y Xu, Q Wang, F Wang, Z Xu The Journal of Navigation 70 (1), 67, 2017 | 82 | 2017 |
| Incentive-based scheduling for market-like computational grids L Xiao, Y Zhu, LM Ni, Z Xu IEEE Transactions on Parallel and Distributed Systems 19 (7), 903-913, 2008 | 78 | 2008 |
| Datampi: extending mpi to hadoop-like big data computing X Lu, F Liang, B Wang, L Zha, Z Xu 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 72 | 2014 |
| Gridis: An incentive-based grid scheduling L Xiao, Y Zhu, LM Ni, Z Xu 19th IEEE International Parallel and Distributed Processing Symposium, 10 pp., 2005 | 70 | 2005 |
| Tencent and Facebook data validate Metcalfe’s law XZ Zhang, JJ Liu, ZW Xu Journal of Computer Science and Technology 30 (2), 246-251, 2015 | 68 | 2015 |
| CCIndex: A complemental clustering index on distributed ordered tables for multi-dimensional range queries Y Zou, J Liu, S Wang, L Zha, Z Xu IFIP International Conference on Network and Parallel Computing, 247-261, 2010 | 64 | 2010 |
| Benchmark evaluation of the IBM SP2 for parallel signal processing K Hwang, Z Xu, M Arakawa IEEE Transactions on Parallel and Distributed Systems 7 (5), 522-536, 1996 | 64 | 1996 |
| WSN12-3: Anycast routing in delay tolerant networks Y Gong, Y Xiong, Q Zhang, Z Zhang, W Wang, Z Xu IEEE Globecom 2006, 1-5, 2006 | 63 | 2006 |
| Vega: A computer systems approach to grid computing Z Xu, W Li, L Zha, H Yu, D Liu Journal of Grid Computing 2 (2), 109-120, 2004 | 59 | 2004 |
| Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, F Cappello, A ... The International Journal of High Performance Computing Applications 32 (4 …, 2018 | 58 | 2018 |
Yunji Chen (陈云霁)Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
