Dear EasyBuilders,

Please find the call for participation for the HPC devroom I'm co-organizing at FOSDEM'21 (https://fosdem.org) below; see also https://hpc-bigdata-fosdem21.github.io.

We welcome talks on topics related to HPC, Big Data & Data Science and FOSS (Free & Open Source Software), in the broad sense (scientific software, sysadmin tools, machine learning, etc.).

FOSDEM'21 will be fully virtual for well known reasons, which makes it especially challenging this year to organize the devroom.

Please consider submitting a talk proposal (submissions are very light weight, basically just a talk title + short description).

Keep in mind that the submission deadline is very close:
Tuesday Dec 15th 2020!

If you know anyone who may be interested in submitting a talk, please consider reaching out to them in person, and suggest them to submit a talk proposal.

I'm happy to answer any questions you may have (off-list please).



FOSDEM'21 HPC, Big Data, and Data Science Devroom
=================================================

https://hpc-bigdata-fosdem21.github.io

** Call for Participation **

Submission deadline: Tuesday Dec 15th 2020
Devroom date: Sunday Feb 7th 2021

We are proud to announce the 6th edition of the HPC, Big Data and Data Science devroom at FOSDEM 2021. The devroom is organized by representatives from the HPC and Big Data communities, who are joining forces to bring both communities together.

The devroom will take place *online* on Sunday Feb 7th 2021,
and is open for everybody to join (no registration required).

Join us to enjoy a full day of talks, demos and interesting discussions on open-source HPC, Big Data and Data Science.

Topics of interest include, but are not limited to:

Architecture and design of High Performance Computing (HPC) and Big Data
    systems

    Architecture and design of Extract, Transform and Load (ETL) and data
    acquisition pipelines

    Data security and governance

    Tools and technologies related to HPC and computational science, for
    example:
        Multithreading (OpenMP, etc.)
        Distributed computing (MPI, etc.)
        GPGPU computing (OpenCL, OpenACC, etc.)
        Parallel filesystems and storage
        Large-scale performance analysis and debugging
    Computational paradigms for Big Data systems
        MapReduce engines
        Streaming engines
        SQL engines
        Dataflow engines
    Emerging hardware trends of large scale clusters
        Large scale memory pooling
        High-speed interconnects
        ARM cluster architecture
    System administration of HPC and Big Data clusters

    User support tools

    Machine learning libraries and tools

Scientific software applications, tools and libraries (across all scientific
    domains)

    Big Data platforms, extensions to existing systems, libraries, APIs

    Experience reports on using Big Data systems, for example:
        Large-scale deployments
        Development and configuration issues
        Tuning and performance tips and lessons learned
    Interesting Big Data use-cases and applications

Comparative analysis of existing systems, evaluation results, performance
    studies

    Interdisciplinary HPC/Big Data use-cases, for example:
        Applications using both HPC and Big Data technologies
        Integration issues
        Open research problems on the convergence of HPC and Big Data
        Running MPI jobs on Big Data clusters and vice-versa


Sounds interesting? Submit your talk proposal and see you (virtually) at FOSDEM'21! Submissions are light weight: basically talk title + short description, plain text. Accepted talks will need to be pre-recorded by mid Jan'21.

Please visit the website for more information: https://hpc-bigdata-fosdem21.github.io, and consider sharing this call for participation with friends and colleagues.

Please contact us via email at hpc-bigdata-devr...@lists.fosdem.org with questions or concerns, or via @fosdem_hpc on Twitter.

--

Kenneth Hoste - HPC team at Ghent University, Belgium
Adam Huffman - Big Data Institute, Oxford, UK

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