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60 lines
1.7 KiB
YAML
60 lines
1.7 KiB
YAML
cff-version: 1.2.0
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title: >-
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MSCCL++: Rethinking GPU Communication Abstractions for
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Cutting-edge AI Applications
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message: >-
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If you use this software, please cite it using the
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metadata from this file.
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type: software
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authors:
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- given-names: Aashaka
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family-names: Shah
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affiliation: Microsoft Research
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- given-names: Abhinav
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family-names: Jangda
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affiliation: Microsoft Research
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- given-names: Binyang
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family-names: Li
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affiliation: Microsoft Azure
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- given-names: Caio
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family-names: Rocha
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affiliation: Microsoft Azure
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- given-names: Changho
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family-names: Hwang
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affiliation: Microsoft Research
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- given-names: Jithin
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family-names: Jose
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affiliation: Microsoft Azure
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- given-names: Madan
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family-names: Musuvathi
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affiliation: Microsoft Research
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- given-names: Olli
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family-names: Saarikivi
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affiliation: Microsoft Research
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- given-names: Peng
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family-names: Cheng
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affiliation: Microsoft Research
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- given-names: Qinghua
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family-names: Zhou
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affiliation: Microsoft Azure
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- given-names: Roshan
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family-names: Dathathri
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affiliation: Microsoft Research
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- given-names: Saeed
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family-names: Maleki
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affiliation: Microsoft Research
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- given-names: Ziyue
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family-names: Yang
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affiliation: Microsoft Research
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identifiers:
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- type: other
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value: 'arxiv:2504.09014'
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repository-code: 'https://github.com/microsoft/mscclpp'
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url: 'https://microsoft.github.io/mscclpp/index.html'
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abstract: >-
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MSCCL++ redefines the interface for inter-GPU communication, thereby
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delivering a highly efficient and customizable communication stack
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tailored for distributed GPU applications.
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license: MIT
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license-url: https://github.com/microsoft/mscclpp/blob/main/LICENSE
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