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