[hpc-announce] Special Issue of High-Performance Computing and Supercomputing

Jose Miguel-Alonso j.miguel at ehu.eus
Wed Sep 2 03:23:39 CDT 2020

[Apologies if you receive multiple copies of this call for papers]


Special Issue "High-Performance Computing and Supercomputing"


A special issue of Applied Sciences (ISSN 2076-3417). This special issue
belongs to the section "Computing and Artificial Intelligence".


Deadline for manuscript submissions: 31 January 2021.




Prof. Dr. Jose Miguel-Alonso

Guest Editor

Department of Computer Architecture and Technology, The University of the
Basque Country UPV/EHU

Interests: architecture of HPC systems, focused mainly on the
interconnection network; performance evaluation; simulation; scheduling in
HPC environments




Dear Colleagues,


Now more than ever, supercomputing systems are essential to the advancement
of science and engineering. Every semester we see impressive advances in the
Top500/Green500 charts, achieved through the use of high-performance
interconnects linking thousands of high-performance nodes, often
supplemented by high-performance accelerators/coprocessors. These
large-scale systems are rarely used by a single application, but are shared
by multiple concurrent users/applications. Additionally, despite
implementing different measures to achieve energy efficiency,
top-of-the-list supercomputers consume several GW. The range of applications
for which supercomputers are used is large (biosciences, Earth sciences,
energy, materials, computer architecture, and many more) and we are seeing a
convergence between these "classic" and newer applications based on what is
known as "big data"-the analysis of massive amounts of data in order to
extract knowledge from them.


This reality motivates the topics of this Special Issue on High-Performance
Computing and Supercomputing of the journal Applied Sciences: current trends
and emerging technologies in the architecture of HPC systems, including data
storage systems, interconnection networks, accelerators/coprocessors, and
energy efficiency measures; task management and scheduling in HPC systems
seeking to optimize performance and energy efficiency; novel uses of HPC
with special focus on HPC-big data convergence; programming and run-time
environments for HPC.


Prof. Dr. Jose Miguel-Alonso

Guest Editor



Manuscript Submission Information


Manuscripts should be submitted online at www.mdpi.com by registering and
logging in to this website. Once you are registered, click here to go to the
submission form. Manuscripts can be submitted until the deadline. All papers
will be peer-reviewed. Accepted papers will be published continuously in the
journal (as soon as accepted) and will be listed together on the special
issue website. Research articles, review articles as well as short
communications are invited. For planned papers, a title and short abstract
(about 100 words) can be sent to the Editorial Office for announcement on
this website.


Submitted manuscripts should not have been published previously, nor be
under consideration for publication elsewhere (except conference proceedings
papers). All manuscripts are thoroughly refereed through a single-blind
peer-review process. A guide for authors and other relevant information for
submission of manuscripts is available on the Instructions for Authors page.
Applied Sciences is an international peer-reviewed open access semimonthly
journal published by MDPI.


Please visit the Instructions for Authors page before submitting a
manuscript. The Article Processing Charge (APC) for publication in this open
access journal is 1800 CHF (Swiss Francs). Submitted papers should be well
formatted and use good English. Authors may use MDPI's English editing
service prior to publication or during author revisions.




architecture of HPC and supercomputing systems

storage systems

interconnection networks

accelerators and co-processors

task management and scheduling

energy efficiency

HPC-big data convergence

programming languages and run-time systems



Jose Miguel-Alonso <j.miguel at ehu.eus>

Intelligent Systems Group -  <http://www.sc.ehu.es/isg>

Department of Computer Architecture and Technology

University of the Basque Country UPV/EHU

Paseo M. Lardizabal, 1, 20018 San Sebastian (Spain)


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