Obserwuj
Haishan Zhu
Haishan Zhu
Zweryfikowany adres z microsoft.com
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1652016
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
1022011
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
972020
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
302019
SIPT: Speculatively indexed, physically tagged caches
T Zheng, H Zhu, M Erez
2018 IEEE International Symposium on High Performance Computer Architecture …, 2018
302018
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
122020
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
42019
Neural network training with decreased memory consumption and processor utilization
NA Taesik, D Lo, H Zhu, ES Chung
US Patent 11,526,761, 2022
22022
Mixed precision training of an artificial neural network
H Zhu, NA Taesik, D Lo, ES Chung
US Patent App. 16/357,139, 2020
22020
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
22016
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
Managing processing system efficiency
L Cheng, RK Govindaraju, H Zhu, D Lo, P Ranganathan, N Patil
US Patent 10,908,964, 2021
2021
QoS-aware mechanisms for improving cost-efficiency of datacenters
H Zhu
2018
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