• Special issue on Recent Advances in Autonomous Vehicle Solutions in the

    From SP@21:1/5 to All on Tue May 5 05:08:28 2020
    Special issue on Recent Advances in Autonomous Vehicle Solutions in the Digital Continuum

    Computing Journal, Springer Nature https://www.springer.com/journal/607/updates/17917580


    The domain of autonomous vehicle computing systems is changing rapidly under the pressure of an intense competition, the continuous emergence of new markets and players. Research and development in autonomous vehicles poses many challenges and
    opportunities both in hardware and software across the Digital Continuum: from sensors at the Edge to HPC resources in the Cloud. Hardware requirements range from specific processor architectures, efficient SIMD processing on graphics processors, and
    efficient memory hierarchy. Similarly, software requirements range from operating system support and specialized image processing kernels, to efficient deep learning algorithms for scene and object detection. Special attention is paid to power
    limitations, cost for mass production, and safety.

    This special issue of Computing addresses recent advances for autonomous vehicles in the Digital Continuum encompassing the Edge, Fog, and Cloud Computing. Topics of interest include, but are not limited to:

    - Workload characterization and benchmarks for autonomous vehicles to be used in heterogeneous platforms.
    - Special accelerator architectures and microarchitectures to be used on the Edge.
    - Resource allocation approaches for autonomous vehicle computation needs.
    - Scheduling heuristics and run time environment solutions to achieve better throughput in computing systems with different constraints.
    - Framework and prototype experiences with integration of specialized components.
    - Testbed implementations with heterogeneous computing resources for autonomous vehicles.
    - Memory system design for specialized hardware.
    - System impact of offloading computation including interconnect technology, bandwidth, and data processing.
    - Programmability of heterogeneous hardware resources with variable distances. - Techniques to facilitate configurability or configurable solutions.
    - System evaluation and analysis of specialized platforms.


    - Ozcan Ozturk (Lead Guest Editor), Bilkent University (TR),
    - Sabri Pllana, Linnaeus University (SE),
    - Smaïl Niar, Université Polytechnique Hauts-de-France (FR),
    - Kaoutar El Maghraoui, IBM Thomas J. Watson Research Center (US).


    - Submission Due: 1st Sep 2020
    - First Review Notification: 1st Nov 2020
    - Revision Due: 1st Dec 2020
    - Final Review Notification: 1st Feb 2021


    Formatting: All submitted manuscripts must be formatted according to Computing's Submission Guidelines/Instructions for Authors which are available at https://www.springer.com/journal/607. We will accept both LaTeX manuscripts (Springer templates to be
    found under Submission Guidelines/Instructions for Authors/Text) and word manuscripts (for which no templates are available).

    Manuscript length: Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue should not exceed 20 pages. Submission that do not comply with this
    requirement are likely to be desk rejected without being reviewed.

    Submission instruction: Manuscripts should be submitted using the online submission system at https://www.editorialmanager.com/comp/default.aspx.
    When submitting a manuscript for this special issue, authors should select ‘SI: Autonomous Vehicle Solutions in the Digital Continuum’ during the submission step 'Additional Information'.

    Submissions of “extended versions” of already published works (e.g., conference/workshop papers) should be significantly extended with a relevant part of novel contribution (at least 30% new work). A “Summary of Differences” between the submitted
    paper to this special issue and the former one must be included.

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