[hpc-announce] CALL FOR PAPERS. HPCMALL 2023

JESUS CARRETERO PEREZ jcarrete at inf.uc3m.es
Sun Jan 22 12:18:01 CST 2023


HPCMALL 2023: 2nd International Workshop on Malleability Techniques
Applications in High-Performance Computing
    (To be held at ISC 2023). Hamburg, Germany, May 21-25, 2023

Conference website https://www.admire-eurohpc.eu/events/hpcmall/
Submission link https://easychair.org/conferences/?conf=hpcmall2023
Abstract registration deadline March 1, 2023
Submission deadline March 7, 2023


Description of the workshop

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

As a consequence, we see a rise in research on malleable systems,
middleware software and applications, which can adjust resources 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

In order to address these challenges, the HPCMALL 2023 workshop will bring
together researchers from diverse areas of HPC that are impacted or
actively pursuing malleability concepts, from application developers to
system architects, from programming model to system software researchers.
The workshop will provide a lively discussion forum for researchers working
in HPC and pursuing the concepts of and around malleability.


We are looking for original high-quality research and position 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
    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
    Ad-hoc storage systems and I/O scheduling techniques helping I/O
    Support for malleable execution of applications in performance,
debugging and correctness tools.
    Energy efficiency and malleability (applications, over-provisioned
systems wrt. power/energy, storage systems, etc.).
    Experiences and use cases applying malleability to HPC applications.


Workshop Chairs

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.

Workshop Program Committee

Fabio Affinito. Cineca. Italy

Alexander Antonov. Moscow State University, Russia

Jean-Baptiste Besnard. ParaTools SAS. France

Andre Brinkmann. Johannes Gutenberg-Universität Mainz. Germany

Iacopo Colonnelli,  University of Totino. Italy.

Norbert Eicker. JSC and Univ. Wuppertal. Germany.

Hamid Mohammadi Fard. Technical University of Darmstadt. Germany

Javier Garcia Blas. Carlos III University. Spain

Michael Gerndt. Technical University of Munich. Germany.

Balazs Gerofi. RIKEN. Japan.

Emmanuel Jeannot. INRIA. France.

Michael Klemm.  AMD. Germany.

Masaki Kondo. Keio University. Japan.

Erwin Laure. MPCDF. Germany.

Stefano Markidis. KTH. Sweden.

Thomas Moschny. PARTEC. Germany.

Ramon Nou. Universitat Politècnica de Catalunya. Spain

Ariel Oleksiak.  Poznan Supercomputing and Networking Center. Poland.

David E. Singh. Universidad Carlos III de Madrid. Spain

Martin Schreiber  University of Grenoble-Alpes.  France

Sameer Shende. ParaTools SAS. USA.

Miwako Tsuji. RIKEN AICS. Japan.

Marc André Vef. Johannes Gutenberg-Universität Mainz. Germany.

Carlos A. Varela. Rensselaer Polytechnic Institute. USA.

Vladimir Voevodin. Moscow State University. Russia.

Mohamed Wahib. AIST/TokyoTech. OIL Japan.

Josef Weidendorfer. Technical University of Munich. Germany

Roman Wyrzykowski. Czestochowa University of Technology. Poland.



Papers will be published  together with ISC proceedings.

    We will allow both regular full page research papers (maximum 12
pages, including figures and references), as well as 6-8 page short or
position papers, in order to cover both more mature approaches in the area
as well as hot and novel concepts in their early stages.

A Journal Special Issue will be published in a reference journal.  The
special issue will have an open CFP, but extended versions of the best
papers accepted at HPCMALL 2023 will be invited for publication. All papers
will undergo the usual peer-review process of the journal.
Submission Guidelines

Paper submissions are required to be formatted using LNCS style
(see Springer’s website):

    Single-column format
    Maximum 12 pages (including figures and references)
    Use Springer’s LaTeX document class or Word template (see Springer’s
Proceedings Guidelines)
    Papers must be suitable for double-blind review (see ISC High
Performance Double-Blind Review Guidelines)
    The PC reserves the right to reject incorrectly formatted papers
    Papers cannot have been previously published or simultaneously under

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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