Song Jun
Alibaba Group
3 Papers
1 Citations
Song Jun is an academic researcher from Alibaba Group. The author has contributed to research in topics: Granularity & Massively parallel. The author has an hindex of 1, co-authored 3 publications.
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Papers
Patent
Temperature monitoring method and device
Zhang Shu,Fan Yuan,Ruan Jun,Song Jun,Li Shiwei +4 more
- 14 Feb 2020
TL;DR: In this paper, the authors proposed a temperature monitoring method and device, which comprises the steps of obtaining temperature data collected by a plurality of cabinet sensors and monitoring temperature distribution of the cabinet where the plurality of sensors are located according to the temperature data and the position information of the plurality.
1
Patent
Hybrid system-on-chip for power and performance prediction and control
Song Jun,Liu Yi,Jin Lingling,Wang Guan,Ying Wang,Tang Hong,Zhang Nan,Tian Zhengxiong,Zhou Yu,Qian Chao,Liu Shuiwang,Ruan Jun,Yang Bo,Yu Lin,Huang Jiangwei,Hong Zhou,Lu Yijun,Xu Shao,Li Shiwei,Meng Xiaoli +19 more
- 16 Dec 2020
TL;DR: In this article, a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance metrics data of the host server and to allocate computing resources.
Patent
Gpu power modeling using system performance data
Jin Lingling,Song Jun,Lingjie Xu,Wei Wei,Liu Yi,Chen Vito,Bo Yang +6 more
- 15 Aug 2019
TL;DR: In this article, a method and system of determining graphics processing unit (GPU) performance and power (PNP) at millisecond (i.e., 1 kHz) and/or up microsecond granularity is presented.