A GPU-based tabu search for very large hardware/software partitioning with limited resource usage-Reference-Cited by-同舟云学术

A GPU-based tabu search for very large hardware/software partitioning with limited resource usage

Published:2017 Issue:5 Volume:11 Page:JAMDSM0060-JAMDSM0060
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

HOU Neng¹,HE Fazhi¹²,ZHOU Yi³,AI Haojun¹

Affiliation:

1. State Key Lab of Software engineering, School of Computer Science, Wuhan University

2. State Key Laboratory of Digital Manufacturing Equipment and Technology

3. School of Information Science and Engineering, Wuhan University of Science and Technology

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/11/5/11_2017jamdsm0060/_pdf

Reference58 articles.

1. Abdelhalim, M. B. and Habib, S. D., An integrated high-level hardware/software partitioning methodology, Design Automation for Embedded Systems, Vol.15, No.1, (2011), pp.19-50.

2. Arato, P., Juhasz, S., Mann, Z. A., et al., Hardware-software partitioning in embedded system design, IEEE International Symposium on Intelligent Signal Processing, (2003), pp.197-202.

3. Arató, P., Mann, Z. A. and Orbán, A., Algorithmic aspects of hardware/software partitioning, ACM Transactions on Design Automation of Electronic Systems, Vol.10, No.1, (2005) pp.136-156.

4. Avril Q., Gouranton V. and Arnaldi B., Fast collision culling in large-scale environments using gpu mapping function, Eurographics Symposium Proceedings, (2012), pp. 71-80.

5. Borodin, A. and Cook, S., A time-space tradeoff for sorting on a general sequential model of computation, Proceedings of the twelfth annual ACM symposium on Theory of computing, (1980), pp. 294-301.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning;The Journal of Supercomputing;2023-09-19

2. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions;European Journal of Operational Research;2020-11

3. An efficient GPU-based parallel tabu search algorithm for hardware/software co-design;Frontiers of Computer Science;2020-03-16

4. A survey on partitioning models, solution algorithms and algorithm parallelization for hardware/software co-design;Design Automation for Embedded Systems;2019-04-30

5. Efficient Hardware/Software Partitioning Based on a Hybrid Algorithm;IEEE Access;2018