editorial universitaria

Annals of Multicore and GPU Programming (AMGP)

Concurrent Programming, as a scientific discipline, has been focused on recent developments to support the high-performance parallelization of multithreaded and multitasked software, derived from the emergence of multicore processors (and also GPUs). Not only in the personal computers field but also in tablets and mobile phones, are these considered to be the reference hardware platforms in the future.

The new journal will fill a gap and become a niche in the world of high-impact scientific journals, within the generic field known as Parallel and Distributed Systems on Multicore and GPU Platforms. Moreover, the new journal can provide a basis for the developing sub-discipline of Multicore Programming. This can become an independent discipline with a scientific legacy of its own and be maintained over time.

The publication in the AMGP journal is free of charges for the authors. There are no fees for reviewing nor publishing papers in the journal.

ISSN: 2341-3158

Publication schedule: annually.

Editors:

  • Dr. Manuel I. Capel (manuelcapel at ugr.es)
  • Dr. Antonio J. Tomeu (antonio.tomeu at uca.es)

Technical:

  • Dr. Alberto G. Salguero (alberto.salguero at uca.es)

Publisher:

Sponsoring:

 

http://revistaseug.ugr.es/index.php/amgp

ETSI Informática y Telecomunicaciones
Periodista Daniel Saucedo Aranda, s/n
E- 18071, Granada (Spain)

CALL FOR PAPERS

2014-03-31

Editors of Annals of Muticore and GPU Programming are pleased to invite researchers to publish in our review.

Vol. 4 No. 1 (2017)

Vol 3, No 1 (2016)

Published: 2018-05-24

Table of contents

Revisiting Strassen’s Matrix Multiplication for Multicore Systems

  • Domingo Giménez Cánovas
Published: May 24, 2018
Pages 1-8

Implementation of the Pipeline Parallel Programming Technique as an HLPC: Usage, Usefulness and Performance

  • Mario Rossainz-Lopez
  • Manuel I. Capel-Tuñon
  • Odón Carrasco-Limón
  • Fernando Hernández-Polo
  • Bárbara Sánchez-Rinza
Published: Dec 24, 2017
Pages 9-22

Assessing Energy Consumption and Runtime Efficiency of Master- Worker Parallel Evolutionary Algorithms in CPU-GPU Systems

  • Juan José Escobar
  • Julio Ortega
  • Antonio Díaz
  • Jesús González
  • Miguel Damas
Published: May 24, 2018
Pages 23-36

A Parallel Model for the Belousov- Zhabotinsky Oscillating Reaction with Python and Java

  • Antonio J. Tomeu
  • Alberto G. Salguero
  • Manuel I. Capel
Published: May 24, 2018
Pages 37-45
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