On-Fiber Photonic Computing
In the 1800s, Charles Babbage envisioned computers as analog devices. However, it was not until 150 years later that a Mechanical Analog Computer was constructed for the US Navy to solve differential equations. With the end of Moore's Law, photonic computing is revitalizing the promise of analo...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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ACM|The 22nd ACM Workshop on Hot Topics in Networks
2023
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| Online Access: | https://hdl.handle.net/1721.1/153156 |
| _version_ | 1811084787732971520 |
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| author | Yang, Mingran Zhong, Zhizhen Ghobadi, Manya |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Yang, Mingran Zhong, Zhizhen Ghobadi, Manya |
| author_sort | Yang, Mingran |
| collection | MIT |
| description | In the 1800s, Charles Babbage envisioned computers as analog devices. However, it was not until 150 years later that a Mechanical Analog Computer was constructed for the US Navy to solve differential equations. With the end of Moore's Law, photonic computing is revitalizing the promise of analog computing by leveraging photons' speed, bandwidth, and energy efficiency for faster, more efficient, and scalable analog computing systems. This paper argues that the networking community should augment pluggable transponders with photonic computing capabilities to enable a backward-compatible solution for in-network computing. We propose on-fiber photonic computing to perform computing operations inside network transponders while the data is in the optical domain. We discuss the components required to enable the seamless integration of computation into the very fabric of optical communication links. We then discuss several use cases of on-fiber photonic computing, including machine learning inference, video encoding, load balancing, and intrusion detection. |
| first_indexed | 2024-09-23T12:57:35Z |
| format | Article |
| id | mit-1721.1/153156 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:57:35Z |
| publishDate | 2023 |
| publisher | ACM|The 22nd ACM Workshop on Hot Topics in Networks |
| record_format | dspace |
| spelling | mit-1721.1/1531562024-01-11T21:18:03Z On-Fiber Photonic Computing Yang, Mingran Zhong, Zhizhen Ghobadi, Manya Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science In the 1800s, Charles Babbage envisioned computers as analog devices. However, it was not until 150 years later that a Mechanical Analog Computer was constructed for the US Navy to solve differential equations. With the end of Moore's Law, photonic computing is revitalizing the promise of analog computing by leveraging photons' speed, bandwidth, and energy efficiency for faster, more efficient, and scalable analog computing systems. This paper argues that the networking community should augment pluggable transponders with photonic computing capabilities to enable a backward-compatible solution for in-network computing. We propose on-fiber photonic computing to perform computing operations inside network transponders while the data is in the optical domain. We discuss the components required to enable the seamless integration of computation into the very fabric of optical communication links. We then discuss several use cases of on-fiber photonic computing, including machine learning inference, video encoding, load balancing, and intrusion detection. 2023-12-14T15:13:13Z 2023-12-14T15:13:13Z 2023-11-28 2023-12-01T08:50:06Z Article http://purl.org/eprint/type/ConferencePaper 979-8-4007-0415-4 https://hdl.handle.net/1721.1/153156 Yang, Mingran, Zhong, Zhizhen and Ghobadi, Manya. 2023. "On-Fiber Photonic Computing." PUBLISHER_CC en https://doi.org/10.1145/3626111.3628177 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|The 22nd ACM Workshop on Hot Topics in Networks Association for Computing Machinery |
| spellingShingle | Yang, Mingran Zhong, Zhizhen Ghobadi, Manya On-Fiber Photonic Computing |
| title | On-Fiber Photonic Computing |
| title_full | On-Fiber Photonic Computing |
| title_fullStr | On-Fiber Photonic Computing |
| title_full_unstemmed | On-Fiber Photonic Computing |
| title_short | On-Fiber Photonic Computing |
| title_sort | on fiber photonic computing |
| url | https://hdl.handle.net/1721.1/153156 |
| work_keys_str_mv | AT yangmingran onfiberphotoniccomputing AT zhongzhizhen onfiberphotoniccomputing AT ghobadimanya onfiberphotoniccomputing |