[hpc-announce] IJHPCA. Special Issue on Malleability Techniques Applications in High-Performance Computing (HPCMALL)

JESUS CARRETERO PEREZ jcarrete at inf.uc3m.es
Fri May 13 12:00:17 CDT 2022

The International Journal of High Performance Computing Applications


Special Issue on Malleability Techniques Applications in
High-Performance Computing (HPCMALL)

Guest Editors:

Prof. Jesus Carretero University Carlos III of Madrid, Spain.

Prof. Martin Schulz, Technical University of Munich, Germany.

Dr. Estela Suarez, Juelich Supercomputing Centre, Forschungszentrum
Juelich GmbH, Germany.


IJHCA, a forum for the publication of peer-reviewed, high-quality
original papers showing original peer-reviewed research papers and
timely review articles on the use of supercomputers to solve complex
problems in a spectrum of disciplines, is seeking original manuscripts
for a Special Issue on Malleability Techniques Applications in
High-Performance Computing (HPCMALL), scheduled to appear in the first
half of 2023.

The current static usage model of HPC systems is becoming increasingly
inefficient. This is driven by the continuously growing complexity and
heterogeneity of system architectures, in combination with the
increased usage of coupled applications, the need for strong scaling
with extreme scale parallelism, and the increasing reliance on complex
and dynamic workflows. Therefore, we see a rise in research on
malleable systems, middleware software and applications, which can
adjust resource usage dynamically in order to extract a maximum of
efficiency. By providing an intelligent global coordination of
resources usage, through runtime scheduling of computation, network
usage and I/O across all components of the system architecture,
malleable HPC systems can maximize the exploitation of their
resources, while at the same time minimizing the makespan of
applications in many, if not most, cases.

Of particular concern is the emerging class of data-intensive
applications and their interaction with classic simulation workloads,
driven by the growing need to process extremely large data sets.
However, uncoordinated file access in combination with limited
bandwidth make the I/O system a serious bottleneck. Emerging
multi-tier storage hierarchies come with the potential to remove this
barrier, but maximizing performance still requires careful control to
avoid congestion. Malleability allows systems to dynamically adjust
the computation and storage needs of applications, on the one side,
and the global system on the other.

Such malleable systems, however, face a series of fundamental research
challenges, including: who initiates changes in resource availability
or usage? How is it communicated? How to compute the optimal usage?
How can applications cope with dynamically changing resources? What
should malleable programming models and abstractions look like? How to
design resource management frameworks for malleable systems? Which
resources benefit from malleability, and which (if any) should still
be managed statically?

The special issue will provide a forum for presenting research works
from diverse areas of HPC that are impacted by or actively pursuing
malleability concepts, from application developers to system
architects, from programming models to system software researchers.

The special issue will be open to any author, but it will also invite
extended versions of selected papers of the HPCMALL 2022 workshop,
held with ISC 2022, whose topics match the scope of this special
issue. Each submission will be peer-reviewed by at least three
reviewers to ensure a very high quality of papers selected for the
special issue.


We are looking for original high-quality papers on applications,
services, and system software for malleable high-performance computing
systems. Topics of interest include, but are not limited to:

* System and system architecture considerations in designing malleable

* Emerging software designs to achieve malleability in
high-performance computing.

* High-level parallel programming models and programmability
techniques to improve applications malleability.

* Run-time techniques to provide malleable execution models for
computation, communication and I/O.

* Resource management frameworks and interfaces supporting malleable
scheduling, resource allocations and application execution.

* Computing and I/O scheduling algorithms providing and/or exploiting
static or dynamic malleability.

* Use of AI and ML techniques to steer malleability in systems and applications.

* Ad-hoc storage systems and I/O scheduling techniques helping I/O malleability.

* Support for malleable execution of applications in performance,
debugging and correctness tools.

* Energy efficiency and malleability (applications, over-provisioned
systems, power/energy, storage systems, etc.).

* Experiences and use cases applying malleability to HPC applications.


Submission open .... . . . . . . . . . . . . . .. . . . . .. May 1st. 2022

Submission deadline  . . . . . . . . . . . . . . .. . . . . . June 30th 2022

Final version of the paper  . . . . . . . . . . . . . . . . . November
15th, 2022


Please ensure you read the Guide for Authors before writing your
manuscript. The Guide for Authors and link to submit your manuscript
is available on the Journal's homepage at

Submission Procedure

   Authors need to submit their paper in the IJHPCA system as a
Special Issue paper at the web site:

   You have to submit:

     - A PDF file or a Word file. No TEX file yet, but we encourage
authors to use the IJHPCA Latex template available at

     - An abstract and 5 keywords

     - The bios of the authors

     - Archives containing the original files (latex, figures, etc..)

   - Manuscript type should be: Special Issue.

   - Authors must pick Jesus Carretero, Martin Schulz , OR Estela
Suarez (special issue HPCMALL 2023) as preferred SAE.


All submissions deemed suitable by the editors to be sent for peer
review will be reviewed by at least three independent reviewers. Once
your manuscript is accepted, it will go into production to be
published in the special issue.

Inquiries, including questions about appropriate topics, may be sent
electronically to Jesus Carretero

 <jesus.carretero at uc3m.es>, Martin Schulz <schulzm at in.tum.de>, or
Estela Suarez <e.suarez at fz-juelich.de>

Prof. Jesus Carretero
Computer Architecture Professor
Computer Science and Engineering Dep. University Carlos III of Madrid
Avda. Universidad 30,  28911 Leganes, Madrid, Spain

Email: jesus.carretero at uc3m.es
Tel: +34 916249458.  Fax: +34 916249129
Web: http://arcos.inf.uc3m.es/~jcarrete

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