Characterization and Machine Learning Classification of AI and PC Workloads-Reference-Cited by-同舟云学术

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Characterization and Machine Learning Classification of AI and PC Workloads

Published:2024 Issue: Volume:12 Page:83858-83875
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sibai Fadi N.¹^ORCID,Asaduzzaman Abu²,El-Moursy Ali³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Gulf University for Science and Technology, Mubarak Al-Abdullah, Kuwait

2. Electrical and Computer Engineering Department, Wichita State University, Wichita, KS, USA

3. Electrical and Computer Engineering Department, University of Sharjah, Sharjah, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10555271.pdf?arnumber=10555271

Reference35 articles.

1. Performance analysis and workload characterization of the 3DMark05 benchmark on modern parallel computer platforms

2. 3D Graphics Performance Scaling and Workload Decomposition and Analysis

3. Evaluating the performance of single and multiple core processors with PCMARK®05 and benchmark analysis

4. Dissecting the PCMark®05 Benchmark and Assessing Performance Scaling

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