PINE: Photonic Integrated Networked Energy efficient datacenters (ENLITENED Program) [Invited] Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1364/jocn.402788
We review the motivation, goals, and achievements of the Photonic Integrated Networked Energy efficient datacenter (PINE) project, which is part of the Advanced Research Projects Agency–Energy (ARPA-E) ENergy-efficient Light-wave Integrated Technology Enabling Networks that Enhance Dataprocessing (ENLITENED) program. The PINE program leverages the unique features of photonic technologies to enable alternative mega-datacenters and high-performance computing (HPC) system architectures that deliver more substantial energy efficiency improvements than can be achieved through link energy efficiency alone. In phase 1 of the program, the PINE system architecture demonstrated an average factor of improvement in transactions/joule across a diverse set of HPC and datacenter applications. In phase 2, PINE will demonstrate an aggressive 1.0 pJ/bit total link budget with high-bandwidth-density dense wavelength-division multiplexing (DWDM) links to enable additional or more efficiency gains through deep resource disaggregation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/jocn.402788
- OA Status
- green
- Cited By
- 29
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3095444008
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3095444008Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/jocn.402788Digital Object Identifier
- Title
-
PINE: Photonic Integrated Networked Energy efficient datacenters (ENLITENED Program) [Invited]Work title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-02Full publication date if available
- Authors
-
Madeleine Glick, Nathan Abrams, Qixiang Cheng, Min Yee Teh, Yu‐Han Hung, Oscar A. Jimenez Gordillo, Songtao Liu, Yoshitomo Okawachi, Xiang Meng, Leif Johansson, Manya Ghobadi, Larry Dennison, George Michelogiannakis, John Shalf, Alan Liu, John E. Bowers, Alex Gaeta, Michal Lipson, Keren BergmanList of authors in order
- Landing page
-
https://doi.org/10.1364/jocn.402788Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/1772146Direct OA link when available
- Concepts
-
Photonics, Efficient energy use, Computer science, Energy (signal processing), Computer architecture, Embedded system, Optoelectronics, Engineering, Electrical engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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29Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 10, 2022: 11, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| countries_distinct_count | 2 |
| institutions_distinct_count | 19 |
| corresponding_institution_ids | https://openalex.org/I148283060, https://openalex.org/I154570441, https://openalex.org/I241749, https://openalex.org/I4210110987, https://openalex.org/I4210127875, https://openalex.org/I4210136083, https://openalex.org/I78577930 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.90947689 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |