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Parallel Numerical Methods and Libraries

for Heterogeneous Multi/Many-cores

The ever-increasing need for large-scale simulations and data analysis in science, engineering, pushes the high-performance computing research field to findnew and more efficient solutions primarily in the context of numerical algorithms. Besides, heterogeneity is emerging as one of the main characteristics of today's parallel environments where different memory hierarchies and kinds of HW accelerators are more and more present. In this context, for computational science and engineering applications, it is essential to leverage efficient and highly scalable numerical libraries and tools capable of exploiting such modern heterogeneous computers. These systems are typically characterized by very different software environments which require a new level of exibility in the algorithms and methods used to achieve an adequate level of performance. Traditional parallel algorithms and programming environments, designed for homogeneous parallel systems, are not fully able to utilize the available high performance of today's and forthcoming heterogeneous multi/manycore. This conference Special Session aims at providing a forum of researchers and practionists for discussing recent advances in parallel numerical methods and algorithms and their implementations on current heterogeneous parallel architectures. We solicit research works that address algorithmic de- sign, implementation techniques, performance analysis, integration of parallel numerical methods in science and engineering applications as well as theoretical models aimed at efficiently solving problems on heterogeneous platforms.

Important Dates:


Paper submission:   10th Sep 2018 5th Oct 2018 15th Oct 2018 30th Oct 2018
Acceptance notification:   17th Oct 2018 15th Nov 2018 23rd Nov 2018 27th Nov 201830th Nov 2018
Camera ready due:   12th Nov 2018 15th Dec 2018 19th Dec 2018
Conference: 13th - 15th Feb 2019


  

    Notification extended
    November 27, 2018
    November 30, 2018

    July 21, 2018:
    List of accepted special sessions

    July 21, 2018:
    Call for paper available


Topics:


We focus on papers covering various topics of interests that include, but are not limited to the following:
  • Parallel algorithms for efficient problem solving on heterogeneous platforms
  • Numerical linear algebra for dense and sparse matrices
  • Optimization and non-linear problems
  • Applications of numerical algorithms in science and engineering
  • Iterative methods and solvers
  • Parallel numerical linear algebra libraries
  • Solution methods for non-linear problems
  • Analysis methods for large data sets
  • Parallel programming languages, compilers, libraries for accelerated computing
  • GPU algorithms for solving differential equations
  • Multi/Many-cores and GPU tools for parallel solution of large-scale problems

Programme Co-chairs:


Salvatore Cuomo, University of Naples Federico II, Italy

Livia Marcellino, University of Naples Parthenope, Italy

Massimo Torquati, University of Pisa, Italy



Programme Committee:

Jing Gong, PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden

Paolo Viviani, Conputer Science Department, University of Turin, Italy

Mencagli Gabriele, Computer Science Department, University of Pisa, Italy

Daniela Di Serafino, Università degli Studi della Campania "L. Vanvitelli", Italy

Mario Cannataro, Università degli Studi Magna Grecia, Catanzaro, Italy

Pierangelo Veltri, Università degli Studi Magna Grecia, Catanzaro, Italy

Jan Lemeire, Department of Electronics and Informatics, Vrije Universiteit Brussel, Belgium

Geraldo Toraldo, University of Naples Federico II, Italy

Gang Mei, China University of Geosciences, Beijing, China

Jose Carlos Valeverde, University of Castilla la Mancha, Albacete, Spain

Gwanggil Jeon, Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea

Awais Ahmad, Kyungpook National University, South Korea

Daniele De Sensi, Computer Science Department, University of Pisa