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DragonHPC/dragon

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Dragon is a composable runtime that lets users create scalable, complex, and resilient HPC and AI applications and workflows through standard Python interfaces. Dragon provides capabilities to address many of the challenges around programmability, memory management, transparency, and efficiency on distributed systems. Built by a team with decades of experience developing software for Cray supercomputers, Dragon lets you write familiar code, making it easy to scale from a laptop to a supercomputer.

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Getting Started

Our documentation covers examples, APIs, and more. The introduction to Dragon will get you started with the key concepts.

Getting Help

Contact us at [email protected] to join our Slack workspace.

Contributing

Refer to CONTRIBUTING.md on processes and requirements for contributing to Dragon.

Credits

The Dragon team is:

Past developers:

  • Michael Burke
  • Zach Crisler
  • Julius Donnert
  • Veena Ghorakavi
  • B Keen
  • Ashish Vinodkumar

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Dragon distributed runtime for HPC and AI applications and workflows

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