Dear all,

As you probably know, EuroMPI will be held in Charlotte, NC this year, 
October 1-3. The abstract and full paper deadline was extended to *June 
6, 2025*. The call for paper can be found at 
https://urldefense.us/v3/__https://eurompi.github.io/call__;!!G_uCfscf7eWS!Y9U1cF0mQpRjvBkV8j24srxx4AuruDcGHBrIrNjDfbx1IRCRbDIODZrT7mZ9gvIAZvVPAlSleOF_AuDuw_izXhpiz_tCMFVy$. I copied the topics of interest below. 
We hope the extended deadline gives everyone a chance to submit 
interesting papers for this year’s edition.

Cheers
Joseph, on behalf of the organization committee

*Topics of Interest*

  *

    Implementation Issues and Algorithms: Efficient and scalable
    implementations of message-passing constructs.

  *

    Architectures and systems: Towards exascale computing, efficient use
    of accelerators and other features of modern, large-scale systems,
    hardware-software interaction.

  *

    Message Passing for accelerator-based compute architectures, including
    multi-GPU, TPU, and AI-accelerator systems.

  *

    Programming models and paradigms related to MPI targeting large-scale,
    parallel, distributed memory systems, hierarchical and hybrid models,
    partitioned global address space (PGAS) models.

  *

    Extensions to and shortcomings of MPI: alternative interfaces and
    solutions.

  *

    New, parallel (MPI-)I/O mechanisms optimizations.

  *

    Hybrid and heterogeneous programming with MPI and other interfaces.

  *

    Message passing interface support for data-intensive parallel
    applications.

  *

    Fault tolerance in message-passing implementations and systems.

  *

    MPI parallel programming in clouds and non-dedicated systems.

  *

    Performance evaluation for MPI and MPI-based applications.

  *

    Automatic performance tuning of applications and implementations.

  *

    Verification of message-passing applications and protocols.

  *

    Applications using advanced message passing, in particular in
    computational science and scientific computing.

  *

    Parallel algorithms in the message-passing paradigm.

  *

    Interactions between the message-passing library and runtime systems.

  *

    Use of MPI in Artificial Intelligence (AI) and Large Language Models
    (LLM) and its challenges

  *

    Integration and comparisons with competing industry standards (e.g.,
    NCCL, RCCL)

    ​