| Adaptive parallel execution of deep neural networks on heterogeneous edge devices L Zhou, MH Samavatian, A Bacha, S Majumdar, R Teodorescu Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 195-208, 2019 | 110 | 2019 |
| Specshield: Shielding speculative data from microarchitectural covert channels K Barber, A Bacha, L Zhou, Y Zhang, R Teodorescu 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 101 | 2019 |
| Distributing deep neural networks with containerized partitions at the edge L Zhou, H Wen, R Teodorescu, DHC Du 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), 2019 | 101 | 2019 |
| Probe: Prediction-based optical bandwidth scaling for energy-efficient nocs L Zhou, AK Kodi 2013 Seventh IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 1-8, 2013 | 72 | 2013 |
| Core tunneling: Variation-aware voltage noise mitigation in GPUs R Thomas, K Barber, N Sedaghati, L Zhou, R Teodorescu 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 34 | 2016 |
| System for handling concurrent property graph queries Y Xia, L Zhou, R Chen US Patent 11,120,023, 2021 | 16 | 2021 |
| Isolating speculative data to prevent transient execution attacks K Barber, A Bacha, L Zhou, Y Zhang, R Teodorescu IEEE Computer Architecture Letters 18 (2), 178-181, 2019 | 16 | 2019 |
| Rnnfast: An accelerator for recurrent neural networks using domain-wall memory MH Samavatian, A Bacha, L Zhou, R Teodorescu ACM Journal on Emerging Technologies in Computing Systems (JETC) 16 (4), 1-27, 2020 | 15 | 2020 |
| Nvcool: When non-volatile caches meet cold boot attacks X Pan, A Bacha, S Rudolph, L Zhou, Y Zhang, R Teodorescu 2018 IEEE 36th International Conference on Computer Design (ICCD), 439-448, 2018 | 14 | 2018 |
| C-graph: A highly efficient concurrent graph reachability query framework L Zhou, R Chen, Y Xia, R Teodorescu Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018 | 13 | 2018 |
| An edge-set based large scale graph processing system L Zhou, Y Xia, H Zang, J Xu, M Xia 2016 IEEE International Conference on Big Data (Big Data), 1664-1669, 2016 | 4 | 2016 |
| Finding top k shortest simple paths with improved space efficiency Q Wen, R Chen, L Nai, L Zhou, Y Xia Proceedings of the Fifth International Workshop on Graph Data-management …, 2017 | 3 | 2017 |
| Big Data helps SDN to verify integrity of control/data planes Qingsong Wen, Ren Chen, Yinglong Xia, Li Zhou, Juan Deng, Jian Xu, Mingzhen Xia Big Data and Software Defined Networks, 409-432, 2018 | 2* | 2018 |
| Parallel Processing Systems for Data and Computation Efficiency with Applications to Graph Computing and Machine Learning L Zhou The Ohio State University, 2019 | 1 | 2019 |
| Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter G Wu, S Khare, L Zhou, Y Brumer, JP Ng, R Wang 2023 IEEE International Conference on Big Data (BigData), 315-324, 2023 | | 2023 |
Radu TeodorescuThe Ohio State University在 cse.ohio-state.edu 的电子邮件经过验证
