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The OpenFAM API: A Programming Model for Disaggregated Persistent Memory

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OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity (OpenSHMEM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11283))

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Abstract

Recent technology advances in high-density, byte-addressable non-volatile memory (NVM) and low-latency interconnects have enabled building large-scale systems with a large disaggregated fabric-attached memory (FAM) pool shared across decentralized compute nodes. The OpenFAM API is an API for programming with persistent FAM that is inspired by the OpenSHMEM partitioned global address space (PGAS) model. Unlike OpenSHMEM, where each node contributes local memory toward a logically shared global address space, FAM isn’t associated with a particular node and can be addressed directly from any node without the cooperation or involvement of another node. The OpenFAM API enables programmers to manage FAM allocations, access FAM-resident data structures, and order FAM operations. Because state in FAM can survive program termination, the API also provides interfaces for naming and managing data beyond the lifetime of a single program invocation.

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Authors and Affiliations

  1. Hewlett Packard Enterprise, Palo Alto, CA, 94304, USA

    Kimberly Keeton, Sharad Singhal & Michael Raymond

Authors
  1. Kimberly Keeton
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  2. Sharad Singhal
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  3. Michael Raymond
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Corresponding author

Correspondence to Kimberly Keeton .

Editor information

Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Swaroop Pophale

  2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Neena Imam

  3. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Ferrol Aderholdt

  4. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Manjunath Gorentla Venkata

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Keeton, K., Singhal, S., Raymond, M. (2019). The OpenFAM API: A Programming Model for Disaggregated Persistent Memory. In: Pophale, S., Imam, N., Aderholdt, F., Gorentla Venkata, M. (eds) OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity. OpenSHMEM 2018. Lecture Notes in Computer Science(), vol 11283. Springer, Cham. https://doi.org/10.1007/978-3-030-04918-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-04918-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04917-1

  • Online ISBN: 978-3-030-04918-8

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