| Cache management in RDMA distributed key/value stores based on atomic operations MH Hack, Y Ren, Y Wang, L Zhang US Patent 10,031,883, 2018 | 80 | 2018 |
| Nvmcached: An nvm-based key-value cache X Wu, F Ni, L Zhang, Y Wang, Y Ren, M Hack, Z Shao, S Jiang Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, 1-7, 2016 | 43 | 2016 |
| IBM deep learning service B Bhattacharjee, S Boag, C Doshi, P Dube, B Herta, V Ishakian, ... IBM Journal of Research and Development 61 (4/5), 10: 1-10: 11, 2017 | 42 | 2017 |
| Protocols for wide-area data-intensive applications: Design and performance issues Y Ren, T Li, D Yu, S Jin, T Robertazzi, BL Tierney, E Pouyoul SC'12: Proceedings of the International Conference on High Performance …, 2012 | 40 | 2012 |
| zexpander: A key-value cache with both high performance and fewer misses X Wu, L Zhang, Y Wang, Y Ren, M Hack, S Jiang Proceedings of the Eleventh European Conference on Computer Systems, 1-15, 2016 | 36 | 2016 |
| Design and performance evaluation of NUMA-aware RDMA-based end-to-end data transfer systems Y Ren, T Li, D Yu, S Jin, T Robertazzi Proceedings of the International Conference on High Performance Computing …, 2013 | 28 | 2013 |
| Characterization of input/output bandwidth performance models in NUMA architecture for data intensive applications T Li, Y Ren, D Yu, S Jin, T Robertazzi 2013 42nd International Conference on Parallel Processing, 369-378, 2013 | 26 | 2013 |
| Coordinated version control system, method, and recording medium for parameter sensitive applications MHT Hack, Y Ren, Y Wang, L Zhang US Patent 10,643,147, 2020 | 25 | 2020 |
| Cache management in RDMA distributed key/value stores based on atomic operations MH Hack, Y Ren, Y Wang, L Zhang US Patent 10,037,302, 2018 | 20 | 2018 |
| irdma: Efficient use of rdma in distributed deep learning systems Y Ren, X Wu, L Zhang, Y Wang, W Zhang, Z Wang, M Hack, S Jiang 2017 IEEE 19th International Conference on High Performance Computing and …, 2017 | 18 | 2017 |
| Analysis of NUMA effects in modern multicore systems for the design of high-performance data transfer applications T Li, Y Ren, D Yu, S Jin Future Generation Computer Systems 74, 41-50, 2017 | 18 | 2017 |
| Design, implementation, and evaluation of a NUMA-aware cache for iSCSI storage servers Y Ren, T Li, D Yu, S Jin, T Robertazzi IEEE Transactions on Parallel and Distributed Systems 26 (2), 413-422, 2014 | 15 | 2014 |
| RAMSYS: Resource-aware asynchronous data transfer with multicore systems T Li, Y Ren, D Yu, S Jin IEEE Transactions on Parallel and Distributed Systems 28 (5), 1430-1444, 2016 | 14 | 2016 |
| Gadei: On scale-up training as a service for deep learning W Zhang, M Feng, Y Zheng, Y Ren, Y Wang, J Liu, P Liu, B Xiang, ... 2017 IEEE International Conference on Data Mining (ICDM), 1195-1200, 2017 | 13 | 2017 |
| Middleware support for rdma-based data transfer in cloud computing Y Ren, T Li, D Yu, S Jin, T Robertazzi 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 12 | 2012 |
| System, method, and recording medium for reducing memory consumption for in-memory data stores MHT Hack, Y Ren, Y Wang, X Wu, L Zhang US Patent 10,318,199, 2019 | 11 | 2019 |
| Design and testbed evaluation of RDMA-based middleware for high-performance data transfer applications Y Ren, T Li, D Yu, S Jin, T Robertazzi Journal of Systems and Software 86 (7), 1850-1863, 2013 | 11 | 2013 |
| Nexus: bringing efficient and scalable training to deep learning frameworks Y Wang, L Zhang, Y Ren, W Zhang 2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation …, 2017 | 10 | 2017 |
| Local multicast in single-host multi-GPU machine for distributed deep learning systems M Feng, Y Ren, Y Wang, L Zhang, W Zhang US Patent 10,614,356, 2020 | 7 | 2020 |
| Resources-conscious asynchronous high-speed data transfer in multicore systems: Design, optimizations, and evaluation T Li, Y Ren, D Yu, S Jin 2015 IEEE International Parallel and Distributed Processing Symposium, 1097-1106, 2015 | 7 | 2015 |
