| Dirigent: Enforcing QoS for latency-critical tasks on shared multicore systems H Zhu, M Erez Proceedings of the twenty-first international conference on architectural …, 2016 | 170 | 2016 |
| Pushing the limits of narrow precision inferencing at cloud scale with microsoft floating point B Darvish Rouhani, D Lo, R Zhao, M Liu, J Fowers, K Ovtcharov, ... Advances in neural information processing systems 33, 10271-10281, 2020 | 133 | 2020 |
| MEVBench: A mobile computer vision benchmarking suite J Clemons, H Zhu, S Savarese, T Austin 2011 IEEE international symposium on workload characterization (IISWC), 91-102, 2011 | 105 | 2011 |
| Kelp: Qos for accelerated machine learning systems H Zhu, D Lo, L Cheng, R Govindaraju, P Ranganathan, M Erez 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 30 | 2019 |
| SIPT: Speculatively indexed, physically tagged caches T Zheng, H Zhu, M Erez 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 30 | 2018 |
| Dithered quantization of parameters during training with a machine learning tool TM Annau, H Zhu, D Lo, ES Chung US Patent App. 16/240,514, 2020 | 18 | 2020 |
| Kelp: Qos for accelerators in machine learning platforms H Zhu, D Lo, L Cheng, R Govindaraju, P Ranganathan, M Erez Proceedings of the International Symposium on High-Performance Computer …, 2019 | 4 | 2019 |
| Neural network training with decreased memory consumption and processor utilization NA Taesik, D Lo, H Zhu, ES Chung US Patent 11,526,761, 2022 | 2 | 2022 |
| Mixed precision training of an artificial neural network H Zhu, NA Taesik, D Lo, ES Chung US Patent App. 16/357,139, 2020 | 2 | 2020 |
| Baseband architectures to support wireless cellular infrastructure: History and future evolution A Gatherer, H Zhu, M Erez Academic Press Library in Mobile and Wireless Communications, 689-705, 2016 | 2 | 2016 |
| Managing processing system efficiency L Cheng, RK Govindaraju, H Zhu, D Lo, P Ranganathan, N Patil US Patent 10,908,964, 2021 | 1 | 2021 |
| DETECTION OF UNSTRUCTURED PARALLELISM BEHAVIOR OPERATIONS H Zhu, I Bearman US Patent App. 18/330,359, 2024 | | 2024 |
| Transposing matrices based on a multi-level crossbar C Jinhang, H Zhu, Y Luo, ES Chung US Patent App. 17/970,517, 2024 | | 2024 |
| Systems and methods for retiring in multi-stream data movement Y Luo, J Xi, ZUO Xuan, H Zhu, ES Chung US Patent App. 17/971,523, 2024 | | 2024 |
| Program accelerators with multidimensional nested command structures H Zhu, ES Chung US Patent App. 17/966,637, 2024 | | 2024 |
| Deep fusion of kernel execution H Zhu, PJ Shah, T Mitra, ES Chung US Patent App. 17/966,587, 2024 | | 2024 |
| Hierarchical programming model for artificial intelligence hardware H Zhu, ES Chung US Patent App. 17/942,039, 2024 | | 2024 |
| Neural network training with decreased memory consumption and processor utilization NA Taesik, D Lo, H Zhu, ES Chung US Patent 11,853,897, 2023 | | 2023 |
| Managing processing system efficiency L Cheng, RK Govindaraju, H Zhu, D Lo, P Ranganathan, N Patil US Patent 11,704,158, 2023 | | 2023 |
| QoS-aware mechanisms for improving cost-efficiency of datacenters H Zhu | | 2018 |
