SiP-ML Article Swipe
Mehrdad Khani
,
Manya Ghobadi
,
Mohammad Reza Alizadeh
,
Ziyi Zhu
,
Madeleine Glick
,
Keren Bergman
,
Amin Vahdat
,
Benjamin Klenk
,
Eiman Ebrahimi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1145/3452296.3472900
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1145/3452296.3472900
This paper proposes optical network interconnects as a key enabler for building high-bandwidth ML training clusters with strong scaling properties. Our design, called SiP-ML, accelerates the training time of popular DNN models using silicon photonics links capable of providing multiple terabits-per-second of bandwidth per GPU. SiP-ML partitions the training job across GPUs with hybrid data and model parallelism while ensuring the communication pattern can be supported efficiently on the network interconnect. We develop task partitioning and device placement methods that take the degree and reconfiguration latency of optical interconnects into account. Simulations using real DNN models show that, compared to the state-of-the-art electrical networks, our approach improves training time by 1.3--9.1x.
Related Topics
Concepts
Computer science
Bandwidth (computing)
Photonics
Latency (audio)
Interconnection
Control reconfiguration
Computer architecture
Low latency (capital markets)
Key (lock)
Task (project management)
Scaling
Parallel computing
Distributed computing
Embedded system
Computer network
Operating system
Optoelectronics
Mathematics
Geometry
Telecommunications
Management
Economics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3452296.3472900
- https://dl.acm.org/doi/pdf/10.1145/3452296.3472900
- OA Status
- gold
- Cited By
- 73
- References
- 119
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3188706325
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3188706325Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3452296.3472900Digital Object Identifier
- Title
-
SiP-MLWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-09Full publication date if available
- Authors
-
Mehrdad Khani, Manya Ghobadi, Mohammad Reza Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman EbrahimiList of authors in order
- Landing page
-
https://doi.org/10.1145/3452296.3472900Publisher landing page
- PDF URL
-
https://dl.acm.org/doi/pdf/10.1145/3452296.3472900Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://dl.acm.org/doi/pdf/10.1145/3452296.3472900Direct OA link when available
- Concepts
-
Computer science, Bandwidth (computing), Photonics, Latency (audio), Interconnection, Control reconfiguration, Computer architecture, Low latency (capital markets), Key (lock), Task (project management), Scaling, Parallel computing, Distributed computing, Embedded system, Computer network, Operating system, Optoelectronics, Mathematics, Geometry, Telecommunications, Management, Economics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
73Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 22, 2024: 27, 2023: 14, 2022: 9, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
119Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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