Euro-Par 2024 | Track 6: Multidisciplinary, Domain-Specific and Applied Parallel and Distributed Computing | International European Conference on Parallel and Distributed Computing Track 6: Multidisciplinary, Domain-Specific and Applied Parallel and Distributed ComputingEuro-par

Track 6 - Multidisciplinary, Domain-Specific and Applied Parallel and Distributed Computing

Chairs

Program Committee

  • Salvador Abreu, NOVA-LINCS / University of Evora
  • Jose A. Belloch, Universidad Carlos III de Madrid
  • Cristiana Bentes, State University of Rio de Janeiro
  • Ramon Bertran, IBM
  • Vicente Blanco, La Laguna University
  • Cristina Boeres, Universidade Federal Fluminense
  • Jose Luis Bosque, Universidad de Cantabria
  • Benjamin Brock, Intel Corporation
  • Rocio Carratalá, Universitat Jaume I
  • Gabriele Cavallaro, Jülich Supercomputing Centre (JSC)
  • Alvaro Coutinho, High Performance Computing Center
  • Pasqua D'Ambra, IAC-CNR
  • Davor Davidovic, Rudjer Boskovic Institute
  • Juan J. Durillo, Leibniz Supercomputing Centre (LRZ), Munich
  • Schahram Dustdar, Vienna University of Technology
  • Jesus Escudero-Sahuquillo, University of Castilla-La Mancha
  • Maria Fazio, University of Messina
  • Stefka Fidanova, Institute of Information and Communication Technologies
  • Basilio B. Fraguela, Universidade da Coruña
  • Pedro Javier Garcia, Universidad de Castilla-La Mancha
  • Ester Martin Garzon, Almeria University
  • Balazs Gerofi, RIKEN, Intel
  • Philipp Gschwandtner, University of Innsbruck
  • Nicolás Guil Mata, University of Málaga
  • Ligang He, The University of Warwick
  • Juan F. R. Herrera, The University of Edinburgh
  • Fabienne Jezequel, LIP6, Sorbonne Université
  • Vladislav Kashansky, Eteronix GmbH
  • Rajkumar Kettimuthu, Argonne National Laboratory
  • Dragi Kimovski, University of Klagenfurt
  • Lu Liu, University of Leicester
  • Juan Angel Lorenzo Del Castillo, ETIS laboratory, CY Tech (CY Cergy Paris University)
  • Tze Meng Low, Carnegie Mellon University
  • Fabrizio Marozzo, University of Calabria
  • Xavier Martorell, Universitat Politècnica de Catalunya
  • Lena Mashayekhy, University of Delaware
  • Rafael Mayo, CIEMAT
  • Sreeja S Nair, Ditto Live Inc
  • Kary Ocaña, National Laboratory of Scientific Computing
  • Maria Pantoja, California Polytechnic State University  San Luis Obispo
  • Yiannis Papadopoulos, AMD
  • Andrea Pietracaprina, University of Padova
  • Amir Raoofy, Technical University of Munich
  • Pedro Ribeiro, University of Porto
  • Laura Ricci, dipartimento di informatica, Univ. di Pisa
  • Juan Antonio Rico Gallego, Foundation for Computing and Advanced Technologies of Extremadura
  • Larry Rudolph, Two Sigma
  • Rocco Sedona, Forschungszentrum Jülich
  • Natalia Seoane, Universidade de Santiago de Compostela
  • Jonas Thies, Delft University of Technology
  • Paolo Trunfio, DEIS, University of Calabria
  • Jessica Tseng, IBM
  • Pedro Valero-Lara, Oak Ridge National Laboratory
  • Flavio Vella, University of Trento

Focus

  • Applications of numerical algorithms in science and engineering
  • Domain-specific libraries and languages in parallel and distributed computing
  • Application case-studies for benchmarking and comparative studies of parallel programming models
  • Numerical methods for large-scale data analysis
  • High-dimensional problems and reduction methods
  • Implementation & analysis of parallel numerical algorithms
  • Optimization and non-linear problems in parallel and distributed computing
  • Parallel numerical linear algebra for dense and sparse matrices
  • Partial/ordinary and differential algebraic equations in parallel and distributed computing
  • Discrete and combinatorial parallel algorithms
  • Parallel metaheuristics and hyperheuristics
  • Innovative paradigms, programming models, languages, and libraries for parallel and distributed applications
  • Parallel and distributed programming productivity, usability, and component-based parallel programming
  • Tensor operations, low-rank approximations
  • Data-centric parallel and distributed algorithms for exascale computing

In cooperation

Organized by

Supported by

Awards support