A meta heuristic-based task scheduling and mapping method to optimize main design challenges of heterogeneous multiprocessor embedded systems-Reference-Cited by-同舟云学术

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A meta heuristic-based task scheduling and mapping method to optimize main design challenges of heterogeneous multiprocessor embedded systems

Published:2019-05 Issue: Volume:87 Page:1-11
ISSN:0026-2692
Container-title:Microelectronics Journal
language:en
Short-container-title:Microelectronics Journal

Author:

Abdi Athena^ORCID,Zarandi Hamid R.

Publisher

Elsevier BV

Subject

General Engineering

Reference44 articles.

1. The future of multiprocessor systems-on-chips;Wolf,2004

2. Multiprocessor system-on-chip technology;Wolf;IEEE Signal Process. Mag.,2009

3. Advanced Multicore Systems-On-Chip;Abdallah,2017

4. Ant colony heuristic for mapping and scheduling tasks and communications on heterogeneous embedded systems;Ferrandi;IEEE Trans. Comput. Aided Des. Integr Circuits Syst.,2010

5. Thermal trends in emerging technologies;Link,2006

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1. DyUnS: Dynamic and uncertainty-aware task scheduling for multiprocessor embedded systems;Sustainable Computing: Informatics and Systems;2024-09

2. Qsmix: Q-learning-based task scheduling approach for mixed-critical applications on heterogeneous multi-cores;The Journal of Supercomputing;2024-05-06

3. Task ordering in multiprocessor embedded system using a novel hybrid optimization model;Multimedia Tools and Applications;2024-04-23

4. A hot-module-aware mapping approach in network-on-chip;The Journal of Supercomputing;2023-07-03

5. ENF-S: An Evolutionary-Neuro-Fuzzy Multi-Objective Task Scheduler for Heterogeneous Multi-Core Processors;IEEE Transactions on Sustainable Computing;2023-07-01

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