Task Mapping and Scheduling With Uneven Data Partition on Homogeneous and Single-ISA Heterogeneous CPUs in Model-Based Parallelization
Integrated systems comprise diverse tasks, including real-time control and image processing, which must be efficiently executed on embedded system-on-chips with high performance and low power consumption. Multi-core and heterogeneous central processing unit (CPU) architectures, such as Intel...
Saved in:
Main Authors: | Shanwen Wu, Satoshi Kumano, Kei Marume, Masato Edahiro |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11068991/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
THE ALGORITHMIC APPROACH TO IMPROVEMENT OF WORK GENETIC ALGORITHM IN THE HOMOGENEOUS MINIMAX PROBLEM
by: Valery G. KOBAK, et al.
Published: (2010-08-01) -
Task Scheduling with Mobile Robots—A Systematic Literature Review
by: Catarina Rema, et al.
Published: (2025-05-01) -
Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment
by: Yuhao Xiao, et al.
Published: (2025-07-01) -
Comprehensive MILP Formulation and Solution for Simultaneous Scheduling of Machines and AGVs in a Partitioned Flexible Manufacturing System
by: Cheng Zhuang, et al.
Published: (2025-06-01) -
ELABORATION OF TASK CONTROL ALGORITHMS WITH PARALLEL COMPUTING IN CLUSTER COMPUTING SYSTEMS
by: Abdulmajed A. Al-khulaidi, et al.
Published: (2011-06-01)