• CFP: BDL 2022 - IEEE SBAC-PAD 2022 - Extended Submission Deadline: 30 o

    From carlosabreuferreira12@gmail.com@21:1/5 to All on Thu Jul 14 02:09:28 2022



    BDL 2022

    Workshop on Big Data & Deep Learning in High Performance Computing

    in conjunction with IEEE SBAC-PAD 2022

    Bordeaux, France, November 2-5, 2022



    Aims and scope of BDL


    The number of very large data repositories (big data) is increasing in

    a rapid pace. Analysis of such repositories using the traditional

    sequential implementations of Machine Learning (ML) and emerging

    techniques, like deep learning, that model high-level abstractions in

    data by using multiple processing layers, requires expensive

    computational resources and long running times.

    Parallel or distributed computing are possible approaches that can

    make analysis of very large repositories and exploration of high-level

    representations feasible. Taking advantage of a parallel or a

    distributed execution of a ML/statistical system may: i) increase its

    speed; ii) learn hidden representations; iii) search a larger space

    and reach a better solution or; iv) increase the range of applications

    where it can be used (because it can process more data, for

    example). Parallel and distributed computing is therefore of high

    importance to extract knowledge from massive amounts of data and learn

    hidden representations.

    The workshop will be concerned with the exchange of experience among

    academics, researchers and the industry whose work in big data and

    deep learning require high performance computing to achieve

    goals. Participants will present recently developed

    algorithms/systems, on going work and applications taking advantage of

    such parallel or distributed environments.




    BDL 2022 invites papers on all topics in novel data-intensive

    computing techniques, data storage and integration schemes, and

    algorithms for cutting-edge high performance computing architectures

    which targets Big Data and Deep Learning are of interest to the

    workshop. Examples of topics include but not limited to:

    * parallel algorithms for data-intensive applications;

    * scalable data and text mining and information retrieval;

    * using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data;

    * energy-efficient data-intensive computing;

    * deep-learning with massive-scale datasets;

    * querying and visualization of large network datasets;

    * processing large-scale datasets on clusters of multicore and

    manycore processors, and accelerators;

    * heterogeneous computing for Big Data architectures;

    * Big Data in the Cloud;

    * processing and analyzing high-resolution images using

    high-performance computing;

    * using hybrid infrastructures for Big Data analysis;

    * new algorithms for parallel/distributed execution of ML systems;

    * applications of big data and deep learning to real-life problems.


    Program Chairs


    João Gama, University of Porto, Portugal

    Carlos Ferreira, Polytechnic Institute of Porto, Portugal

    Miguel Areias, University of Porto, Portugal


    Program Committee




    Important dates


    Submission deadline: July 30, 2022(AoE)

    Author notification: September 2, 2022

    Camera-ready: September 12, 2022

    Registration deadline: September 14, 2022


    Paper submission


    Papers submitted to BDL 2022 must describe original research results

    and must not have been published or simultaneously submitted anywhere


    Manuscripts must follow the IEEE conference formatting guidelines and

    submitted via the EasyChair Conference Management System as one pdf

    file. The strict page limit for initial submission and camera-ready

    version is 8 pages in the aforementioned format.

    Each paper will receive a minimum of three reviews by members of the

    international technical program committee. Papers will be selected

    based on their originality, relevance, technical clarity and quality

    of presentation. At least one author of each accepted paper must

    register for the BDL 2022 workshop and present the paper.




    All accepted papers will be published at IEEE Xplore.

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