Second Workshop on Models, Algorithms and Methodologies 

for Hierarchical Parallelism in new HPC Systems


sponsored by the Department of Mathematics and Applications - University of Naples Federico II (Italy)


Warsaw, Poland, September 8-11, 2013



jointly with the

10th International Conference on Parallel Processing

and Applied Mathematics PPAM 2013






September 8, 2013: Chair prof. Giuliano Laccetti Introduces the Workshop



MAMHIP13 is the second workshop after the first one held in Torun jointly with PPAM 2011

conference. Since then, 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 by means of a hierarchical 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 by means of 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 and they require different algorithmic
development methodologies. For such a reason, the development of algorithms and scientific
software for these system implies a suitable combination of several methodologies to deal with the
different kinds of parallelism corresponding to each architectural level. The general aim is then the
development of hybrid and hierarchical algorithms, able to be aware of the underlying platform.
Main problems in this field are the management of large parallelism degree due to several
computing units, the heterogeneity of these devices and the combination of the several kinds of
parallelism in a single algorithm. These topics are mainly investigated also to gain the so called
exascale performance, and, from another side, the high performance cloud computing, with regard
to the so called Internet of Things and its interaction with HPC.

This workshop focuses specifically on Models, Methodologies, Algorithms and Environments to
exploit all forms of parallelism and their combination at the all levels in the emerging HPC
multicomputers, with the goal of gathering the current state of knowledge in the field.



Accepted papers


Transparent application acceleration by intelligent scheduling of shared library calls on heterogeneous systems -

J. Colaηo, A. Matoga, A. Ilić, N. Roma, P. Tomαs, R. Chaves


Improving parallel I/O performance using multithreaded two-phase I/O with processor affinity management -

Y. Tsujita, K. Yoshinaga, A. Hori, M. Sato, M. Namiki, Y. Ishikawa


Storage systems for organizationally distributed environments - PLGrid PLUS case study -

R. Slota, L. Dutka, B. Kryza, D. Nikolow, D. Krσl, M. Wrzeszcz, J. Kitowski


The high performance Internet of Things: using GVirtuS for gluing cloud computing and ubiquitous connected devices -

R. Montella, G. Laccetti


A study on adaptive algorithms for numerical quadrature on hybrid GPU and multicore based systems -

G. Laccetti, M. Lapegna, V. Mele, D. Romano




• Hybrid and hierarchical based parallel algorithms
• Architecture-aware parallelisation 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.
• Resources virtualization
• Intra/Infra Virtual machines high performance communications algorithms
• Fault tolerant implementations
• HPC and Internet of Things : HPC spreading and democratisation.
• Codesigning applications and HPC systems
• Parallel file systems and storage models



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)

  • Final camera-ready versions of accepted papers will be required by October 31, 2013.



Submission of Papers: May 12, 2013 (extended deadline !!)
Notification of Acceptance: June 15, 2013
Conference: September 8-11, 2013
Camera-Ready Papers: Nov 15, 2013

Session Organizers

• Giuliano Laccetti (Univ. of Naples Federico II and INFN)
• Marco Lapegna (Univ. of Naples Federico II and INFN)
• Raffaele Montella (Univ. of Naples Parthenope and Univ. of Chicago)


Program committee (confirmed)


-  Alfredo Buttari, CNRS (National Center for Scientific Research) , France

-  Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory, USA
-  Ian Foster, Argonne National Lab, USA, and University of Chicago, USA
-  Florin Isaila, University Carlos III, Madrid, Spain
-  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

-  Paul Messina, Argonne National Laboratory, USA
-  Raffaele Montella, University of Naples Parthenope, Italy, and University of Chicago, USA

- Almerico Murli, CMCC (Euro-Mediterranean Center for Climate Change), and SPACI (Southern Partnership     for Advanced

                      Computational Infrastructures), Italy
-  Guido Russo, University of Naples Federico II, Italy, and INFN (Nuclear Physics National Institute), Italy