Sixth Workshop on Models, Algorithms and Methodologies
for Hybrid Parallelism in new HPC Systems (MAMHYP-22)
Gdansk, Poland, September 11-14, 2022
jointly with the
14th International Conference on Parallel Processing
and Applied Mathematics PPAM 2022
MAMHYP-22 is the sixth workshop after the first five
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 computing, edge computing, and their interaction with HPC.
This workshop focuses specifically on Models, Methodologies, Algorithms, 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.
The topics 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
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.
High Performance cloud/edge/fog computing
Intra/Infra Virtual machines high performance communications algorithms
Fault tolerant implementation
Monday, Sept 12. 15:40 - 16:55
Tuesday, Sept 13. 10:50 - 12:30
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
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 12 pages (LNCS style)
Final camera-ready versions of accepted papers will be required by November 2, 2022.
Submission of Papers: May 20, 2022 (extended)
Notification of Acceptance: June 25, 2022
Conference: September 11-14, 2022
Camera-Ready Papers: November 2, 2022
Giuliano Laccetti (Univ. of Naples Federico II and INFN) email@example.com
Marco Lapegna (Univ. of Naples Federico II and INFN) firstname.lastname@example.org
Raffaele Montella (Univ. of Naples Parthenope) email@example.com
Program committee (tentative)
- Alfredo Buttari, CNRS (National Center for Scientific Research) , France
- Diana Di Luccio University of Naples Parthenope, Italy
- Javier Garcia Blas, University Carlos III, Madrid Spain
- Sokol Kosta,
Aalborg University Copenhagen, Denmark
- Giuliano Laccetti, University of Naples Federico II, Italy, and INFN (Nuclear Physics National Institute), Italy
- Marco Lapegna, University of Naples Federico II, Italy, and INFN (Nuclear
Physics National Institute), Italy
- Valeria Mele, University of Naples Federico II, Italy
- Raffaele Montella, University of Naples Parthenope, Italy
- Gloria Ortega,
University of Almeria, Spain
- Guido Russo, University of Naples Federico II and INFN (Nuclear Physics National Institute), Italy
- Lucas Szustak, Polish Academy of Sciences, Poland
The 2022 edition of the MAMHYP workshop will host one of the dissemination events of the EuroHPC H2020 project "ADMIRE: Adaptive multi-tier intelligent data manager for Exascale" (https://www.admire-eurohpc.eu/, H2020-JTI-EuroHPC-2019-1, Grant Agreement number 956748) led by the prof. Jesus Carretero of the University of Madrid "Carlos III". The dissemination activity leverages the cooperation between the ADMIRE CINI/UNP unit and the research agreement "High-Performance Computing at the Edge" between the Department of Mathematics and Applications of the University of Naples Federico II and the Department of Sciences and Technologies of the University of Naples Parthenope led by prof. Marco Lapegna (UNINA) and prof. Raffaele Montella (UNP).
Special Issue on Scientific Journal
Authors of selected papers from MAMHYP22 will be invited to submit
an extended version of their papers to a Special Issue of
"Concurrency and Computation: Practice and Experiences."
Other high-quality papers that fit the Special Issue topics are also
welcome for submission.
More info available here