Title:
CPU-GPU HETEROGENEOUS SOC PERFORMANCE CHARACTERIZATION METHOD BASED ON MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2020/114311
Kind Code:
A1
Abstract:
Disclosed is a CPU- GPU heterogeneous SoC performance characterization method based on machine learning, relating to the technical field of information technology. The method comprises the following steps: S1: collecting big data on performance including data on CPU hardware events and data on GPU hardware events; S2: processing the collected big data on performance; S3: performing performance characterization to CPU and GPU; S4: performing collection and analysis on system energy consumption. One the one hand, the method enables a user to obtain performance characteristics of an artificial intelligence program by monitoring hardware events at CPU and GPU, thus providing guidance for optimizing the artificial intelligence program; on the other hand, the method provides guidance for the user to, according to the performance characteristics of the artificial intelligence program, specifically optimize the compiler or the computer microarchitecture for adaption to the artificial intelligence program; finally, the method enables the user to monitor and analyze CPU and GPU according to the described monitoring strategy and analysis method.
Inventors:
YU ZHI BIN (CN)
LIN LING FENG (CN)
WU HAO WEN (CN)
LIN LING FENG (CN)
WU HAO WEN (CN)
Application Number:
PCT/CN2019/121592
Publication Date:
June 11, 2020
Filing Date:
November 28, 2019
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06F9/38
Foreign References:
| CN109871237A | 2019-06-11 | |||
| CN107168859A | 2017-09-15 | |||
| CN108733531A | 2018-11-02 | |||
| CN102880785A | 2013-01-16 | |||
| US20180341856A1 | 2018-11-29 |
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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