Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems-Reference-Cited by-同舟云学术

Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems

Published:2023-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge
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Author:

Dagli Ismet¹^ORCID,Depke Andrew¹^ORCID,Mueller Andrew²^ORCID,Hassan Md Sahil³^ORCID,Akoglu Ali³^ORCID,Belviranli Mehmet Esat¹^ORCID

Affiliation:

1. Colorado School of Mines, Golden, CO, USA

2. Colorado School of Mines, 0009-0009-0575-6353, CO, USA

3. University of Arizona, Tucson, AZ, USA

Funder

Air Force Research Laboratory (AFRL) and Defense Advanced Research Projects Agency (DARPA)

National Science Foundation (NSF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589010.3594889

Reference22 articles.

1. Yehia Arafa , Abdel-Hameed Badawy , Ammar ElWazir , Atanu Barai , Ali Eker , Gopinath Chennupati , Nandakishore Santhi , and Stephan Eidenbenz . Hybrid, scalable , trace-driven performance modeling of gpgpus . In SC , pages 1 -- 15 , 2021 . Yehia Arafa, Abdel-Hameed Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, and Stephan Eidenbenz. Hybrid, scalable, trace-driven performance modeling of gpgpus. In SC, pages 1--15, 2021.

2. Mehmet E. Belviranli and Jeffrey S. Vetter. Flame: Graph-based hardware representations for rapid and precise performance modeling. In IEEE Design , Automation Test in Europe Conference Exhibition (DATE) , 2019 . Mehmet E. Belviranli and Jeffrey S. Vetter. Flame: Graph-based hardware representations for rapid and precise performance modeling. In IEEE Design, Automation Test in Europe Conference Exhibition (DATE), 2019.

3. PEMOGEN

4. Using Compiler Techniques to Improve Automatic Performance Modeling

5. Extracting clean performance models from tainted programs

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