ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz PoeschelDavid Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 introduces a unified application programming interface (API) that enables seamless data movement through files, wide-area-networks, and direct memory access, as well as high-level APIs for data analysis. The internal architecture provides a set of reusable and extendable components for managing data presentation and transport mechanisms for new applications. ADIOS 2 bindings are available in C++11, C, Fortran, Python, and Matlab and are currently used across different scientific communities. ADIOS 2 provides a communal framework to tackle data management challenges as we approach the exascale era of supercomputing.

Original languageEnglish (US)
Article number100561
JournalSoftwareX
Volume12
DOIs
StatePublished - Jul 1 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

Keywords

  • Data science
  • Exascale computing
  • High-performance computing (HPC)
  • In-situ
  • Luster GPFS file systems
  • RDMA
  • Scalable I/O
  • Staging

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