loading
Documents

Research.Publish.Connect.

Paper

Authors: Adam Górski and Maciej Ogorzalek

Affiliation: Jagiellonian University in Cracow, Poland

ISBN: 978-989-758-266-0

Keyword(s): Embedded Systems, Architecture, Hardware/Software Co-synthesis, Genetic Programming, Genetic Algorithm, Adaptive Systems.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Real-Time Systems

Abstract: The paper presents a novel adaptive genetic programming based iterative improvement algorithm for hardware/software co-synthesis of distributed embedded systems. The algorithm builds solutions by starting from suboptimal architecture (the fastest) and using system-building options improves the system’s quality. Most known genetic programming algorithms for co-synthesis of embedded systems are built choosing fixed probability. In our approach we decided to change the probability during the work of the program.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.171.183.163

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Górski, A. and Ogorzalek, M. (2017). Adaptive Iterative Improvement GP-based Methodology for HW/SW Co-synthesis of Embedded Systems.In Proceedings of the 7th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2017) ISBN 978-989-758-266-0, pages 56-59. DOI: 10.5220/0006476500560059

@conference{pec17,
author={Adam Górski. and Maciej Ogorzalek.},
title={Adaptive Iterative Improvement GP-based Methodology for HW/SW Co-synthesis of Embedded Systems},
booktitle={Proceedings of the 7th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2017)},
year={2017},
pages={56-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006476500560059},
isbn={978-989-758-266-0},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2017)
TI - Adaptive Iterative Improvement GP-based Methodology for HW/SW Co-synthesis of Embedded Systems
SN - 978-989-758-266-0
AU - Górski, A.
AU - Ogorzalek, M.
PY - 2017
SP - 56
EP - 59
DO - 10.5220/0006476500560059

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.