[hpc-announce] Special issue on Recent Advances in Autonomous Vehicle Solutions in the Digital Continuum

Sabri PLLANA sabri.pllana at lnu.se
Tue May 5 06:57:41 CDT 2020

Special issue on Recent Advances in Autonomous Vehicle Solutions in the 
Digital Continuum

Computing Journal, Springer Nature


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 
- 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 
- 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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