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MAMHYP 2022 : 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems

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Link: https://www.dma.unina.it/~mamhyp/
 
When Sep 11, 2022 - Sep 14, 2022
Where Gdansk, Poland
Submission Deadline May 20, 2022
Notification Due Jun 25, 2022
Final Version Due Nov 2, 2022
Categories    high performance computing   parallel computing   HPC   edge computing
 

Call For Papers

**********************************************************
****** CALL FOR PAPERS ***********************************
******
****** 6th WORKSHOP ON ***********************************
****** MODELS, ALGORITHMS AND METHODOLOGIES FOR **********
****** HYBRID PARALLELISM IN NEW HPC SYSTEMS *************
****** MAMHYP-22 *****************************************
******
****** JOINTLY WITH THE **********************************
****** 14th INTERNATIONAL CONFERENCE ON ******************
****** PARALLEL PROCESSING AND APPLIED MATHEMATICS *******
******
****** GDANSK, POLAND - SEPTEMBER 11-14, 2022 ************
**********************************************************

http://www.dma.unina.it/~mamhyp

The submission deadline is extended till May 20!!!

MAMHYP-22 is the sixth workshop after the first five held in Torun,
Warsaw, Krakow, Lublin and Bialystok in 2011, 2013, 2015, 2017, and 2019,
respectively, jointly to the PPAM conferences. Despite the progress done
in the field, the development of efficient algorithms for HPC systems
with multiple forms of parallelism is still a challenging problem.

More precisely, from an architectural point of view, a High-Performance
Computing system can be described using a hybrid multi-level structure:
at the highest level, there are several systems connected among them by
geographic networks (System level); an intermediate level is composed by
the nodes in a single system communicating among them through dedicated
fast networks or high-performance switches (node level); at the lowest
level, finally, there are several computing elements, computing cores as
well as graphic accelerators, sharing resources in a single CPU (core
level).

These architecture levels have very different features, requiring
different algorithmic development methodologies. For such a reason,
the development of algorithms and scientific software for these systems
implies a suitable combination of several methodologies to deal with
the different kinds of parallelism corresponding to each architectural
level. The general aim is to develop hybrid and hierarchical algorithms,
able to be aware of the underlying platform. The main problems in this
field are the management of large parallelism degrees due to several
computing units, the heterogeneity of these devices, and the combination
of several kinds of parallelism in a single algorithm. These topics are
mainly investigated to gain the so-called exascale performance and, from
another side, to face new forms of distributed computing as cloud and
edge computing, as well as their interaction with HPC.

and Environments to exploit all forms of parallelism and their combination
at all levels in the emerging HPC systems to gather the current state of
knowledge in the field.

TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO:
=====================================================
- Hybrid and hierarchical based parallel algorithms
- Multi-core and many-core parallel computing, GPU computing
- Architecture-aware parallelization on HPC platforms
- Auto tuning techniques for heterogeneous and parallel environments
- Performance analysis
- Techniques for multi-/many-core platforms, NUMA architectures, or
accelerator components
- Task scheduling and load balancing among computing elements
- Synchronization and access to shared resources
- Multilevel cache management
- Computational kernels for scientific computing and applications
- Performance and scalability models
- Tools and programming environments supporting efficient usage of
multilevel parallelism
- Resources virtualization
- High Performance cloud/edge/fog computing
- Intra/Infra Virtual machines high performance communications algorithms
- Fault tolerant implementation

PAPER SUBMISSION AND PUBLICATION
==================================
All rules of paper submission of the PPAM conference apply. In particular:
- Papers will be refereed and accepted on the basis of their scientific
merit and relevance to the Workshop topics.
- Papers presented at the Workshop will be included into the conference
proceedings and published after the conference by Springer in the LNCS
series.
- Before the Workshop, abstracts of accepted papers will be posted on this
site.
- Authors should submit papers (PDF files) using the online submission
tool.
- Papers are not to exceed 10 pages (LNCS style)

WORKSHOP ORGANIZERS
=====================
- Giuliano Laccetti (Univ. of Naples Federico II and INFN)
giuliano.laccetti@unina.it
- Marco Lapegna (Univ. of Naples Federico II and INFN)
marco.lapegna@unina.it
- Valeria Mele (Univ. of Naples Federico II, Italy) valeria.mele@unina.it
- Raffaele Montella (Univ. of Naples Parthenope)
raffaele.montella@uniparthenope.it
- Sokol Kosta (Aalborg University Copenhagen, Denmark) sok@cmi.aau.dk

DATES
=======
- Submission of Papers: May 20, 2022
- Notification of Acceptance: June 25, 2022
- Conference: September 11-14, 2022
- Camera-Ready Papers: November 2, 2022

PROGRAM COMMITTEE
===================
- Alfredo Buttari, CNRS (National Center for Scientific Research), France
- Javier Garcia Blas, University Carlos III, Madrid Spain
- Sokol Kosta, Aalborg University Copenhagen, Denmark
- Giuliano Laccetti, University of Naples Federico II, Italy
- Marco Lapegna, University of Naples Federico II, Italy
- Valeria Mele, University of Naples Federico II, Italy
- Raffaele Montella, University of Naples Parthenope, Italy
- Gloria Ortega, University of Almeria, Spain
- Lucas Szustak, Polish Academy of Sciences, Poland
- Vadim Voevodin, Moscow State University, Russian Federation


JOURNAL SPECIAL ISSUES
========================
Like the previous editions, the authors of the papers presented at the
workshop, as well as all the interested scientists through an usual
Call for Papers, will be invited to submit extended versions of their
work to a special issue of a Scientific Journal (SCOPUS Indexed).


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