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Cited by 27Parallel Computing and Optimization TechniquesEnergy Efficiency in ComputingCloud Computing and Resource Management

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Bayesian Optimization of HPC Systems for Energy Efficiency

Miyazaki, Takashi, Sato, Issei, Shimizu, Nobuyuki·2018·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-92040-5_3
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Overview

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Registry

Crossref · 10.1007/978-3-319-92040-5_3

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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Verification

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Citations

Cites

Show all 12 references

Research works printed but not linked: 4

  1. Močkus, J., Tiesis, V., Zilinskas, A.: The application of bayesian methods for seeking the extremum. Towar. Glob. Optim. 2, 117–129 (1978)
  2. Rasmussen, C.E.: Gaussian Processes for Machine Learning (2006) · DOI · Paper page
  3. Srinivas, N., Krause, A., Kakade, S.M., Seeger, M.: Gaussian process optimization in the bandit setting: no regret and experimental design. arXiv preprint arXiv:0912.3995 (2009) · arXiv
  4. Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 2951–2959. Curran Associates, Inc. (2012)

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Related

Metadata

Authors
Miyazaki, T., Sato, I., & Shimizu, N.
Affiliations
  • Yahoo Japan Corp. (Japan) (JP)
  • The University of Tokyo (JP)
Corresponding author
Miyazaki, Takashi
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2018
Pages
44-62
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-92040-5_3
OpenAlex
W2805864713
Cited by
27
References
12
Citations by year
2026: 1 · 2025: 5 · 2024: 7 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 2
FWCI
1.93
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
Keywords
Bayesian optimization, energy efficiency, Green500, supercomputers, data centers, power-performance tradeoff, benchmarking

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