Article

Free access

Constraint-driven system partitioning

Authors:

M. L. López-Vallejo,

J. Grajal,

J. C. LópezAuthors Info & Claims

DATE '00: Proceedings of the conference on Design, automation and test in Europe

Pages 411 - 416

https://doi.org/10.1145/343647.343811

Published: 01 January 2000 Publication History

PDF eReader Publisher Site

References

[1]

R. K. Gupta and G. De Micheli. HW-SW Cosynthesis for Digital Systems. IEEE Design & Test of Computers, pages 29-41, 1993.

Digital Library

Google Scholar

[2]

R. Ernst, J. Henkel, and T. Benner. Hardware-Software Cosynthesis for Microcontrollers. IEEE Design & Test of Computers, pages 64-75, Dec 1993.

Digital Library

Google Scholar

[3]

A. Kalavade and E. A. Lee. The Extended Partitioning Problem: Hardware/Software Mapping, Scheduling and Implementation-bin Selection. Journal of Design Automation of Embedded Systems, 2(2):125- 164, March 1997.

Digital Library

Google Scholar

[4]

E Vahid. Modifying Min-Cut for Hardware and Software Functional Partitioning. In Proc. Workshop on HW/SW Co-Design CODES/CASHE'97, Mar 1997. Braunschweig, Germany.

Digital Library

Google Scholar

[5]

P. Eles, Z. Peng, K. Kuchcinski, and A. Doboli. System Level Hardware/Software Partitioning based on Simulated Annealing and Tabu Search. Design Automation for Embedded Systems, 2(1):5-32, January 1997.

Digital Library

Google Scholar

[6]

M.L. L6pez Vallejo, C. Carreras, J. C. L6pez, and L. S~nchez. Coarse Grain Partitioning for Hardware-Software Co-design. In Proc. 22nd Euromicro Conference, pages 161-167, Sep 1996.

Google Scholar

[7]

V. Srinivasan, S. Radhakrishnan, and R. Vemuri. Hardware Software Partitioning with Integrated Hardware Design Space Exploration. In Proc. DATE'98, pages 28-35, Paris, France, 1998.

Digital Library

Google Scholar

[8]

D. G. Luenberger. Linnear and non-Linear Programming. Addison- Wesley, 1984.

Google Scholar

[9]

M.L. L6pez Vallejo and J.C. L6pez. Extending classical hardware partitioning algorithms to solve system level partitioning. In Proc. DCIS'99, pages 321-326, Nov 1999.

Google Scholar

Cited By

View all

Bhuvaneswari MJagadeeswari M(2014)Hardware/Software Partitioning for Embedded SystemsApplication of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems10.1007/978-81-322-1958-3_2(21-36)Online publication date: 17-Jul-2014
https://doi.org/10.1007/978-81-322-1958-3_2
Lizarraga ALysecky RLysecky SGordon-Ross A(2013)Dynamic profiling and fuzzy-logic-based optimization of sensor network platformsACM Transactions on Embedded Computing Systems10.1145/2539036.253904713:3(1-29)Online publication date: 24-Dec-2013
https://dl.acm.org/doi/10.1145/2539036.2539047
Caffarena GLópez JLeyva GCarreras CNieto-Taladriz O(2009)Architectural synthesis of fixed-point DSP datapaths using FPGAsInternational Journal of Reconfigurable Computing10.1155/2009/7032672009(1-14)Online publication date: 1-Jan-2009
https://dl.acm.org/doi/10.1155/2009/703267
Show More Cited By

Index Terms

Constraint-driven system partitioning
1. Hardware
  1. Electronic design automation
    1. Physical design (EDA)
  2. Integrated circuits
    1. Logic circuits

Recommendations

A graph partitioning approach to SOM clustering
IDEAL'11: Proceedings of the 12th international conference on Intelligent data engineering and automated learning

Determining the number of clusters has been one of the most difficult problems in data clustering. The Self-Organizing Map (SOM) has been widely used for data visualization and clustering. The SOM can reduce the complexity in terms of computation and ...
Constraint-driven clustering
KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at organizing the true structure to meet certain application requirements. Thus, ...
A new hybrid method based on partitioning-based DBSCAN and ant clustering

Clustering problem is an unsupervised learning problem. It is a procedure that partition data objects into matching clusters. The data objects in the same cluster are quite similar to each other and dissimilar in the other clusters. Density-based ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

DATE '00: Proceedings of the conference on Design, automation and test in Europe

January 2000

707 pages

ISBN:1581132441

DOI:10.1145/343647

Chairman:
Ivo Bolsens
IMEC, Leuven, Belgium

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2000

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

DATE00

Sponsor:

EDAA
EDAC
SIGDA
IEEE-CS
IFIP
The Russian Academy of Sciences

DATE00: Design Automation and Test in Europe

March 27 - 30, 2000

Paris, France

Acceptance Rates

Overall Acceptance Rate 518 of 1,794 submissions, 29%

Upcoming Conference

DATE '25

Sponsor:
sigda

Design, Automation and Test in Europe

March 31 - April 2, 2025

Lyon , France

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
177
Total Downloads

Downloads (Last 12 months)21
Downloads (Last 6 weeks)8

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Bhuvaneswari MJagadeeswari M(2014)Hardware/Software Partitioning for Embedded SystemsApplication of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems10.1007/978-81-322-1958-3_2(21-36)Online publication date: 17-Jul-2014
https://doi.org/10.1007/978-81-322-1958-3_2
Lizarraga ALysecky RLysecky SGordon-Ross A(2013)Dynamic profiling and fuzzy-logic-based optimization of sensor network platformsACM Transactions on Embedded Computing Systems10.1145/2539036.253904713:3(1-29)Online publication date: 24-Dec-2013
https://dl.acm.org/doi/10.1145/2539036.2539047
Caffarena GLópez JLeyva GCarreras CNieto-Taladriz O(2009)Architectural synthesis of fixed-point DSP datapaths using FPGAsInternational Journal of Reconfigurable Computing10.1155/2009/7032672009(1-14)Online publication date: 1-Jan-2009
https://dl.acm.org/doi/10.1155/2009/703267
Bhattacharya AKonar ADas SGrosan CAbraham A(2008)Hardware Software Partitioning Problem in Embedded System Design Using Particle Swarm Optimization AlgorithmProceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems10.1109/CISIS.2008.5(171-176)Online publication date: 4-Mar-2008
https://dl.acm.org/doi/10.1109/CISIS.2008.5
Mann ZOrbán AArató P(2007)Finding optimal hardware/software partitionsFormal Methods in System Design10.1007/s10703-007-0039-031:3(241-263)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1007/s10703-007-0039-0
Lysecky SVahid F(2006)Automated application-specific tuning of parameterized sensor-based embedded system building blocksProceedings of the 8th international conference on Ubiquitous Computing10.1007/11853565_30(507-524)Online publication date: 17-Sep-2006
https://dl.acm.org/doi/10.1007/11853565_30
Brunnbauer WWild TFoag JPazos N(2003)A constructive algorithm with look-ahead for mapping and scheduling of task graphs with conditional edgesEuromicro Symposium on Digital System Design, 2003. Proceedings.10.1109/DSD.2003.1231906(98-103)Online publication date: 2003
https://doi.org/10.1109/DSD.2003.1231906
Vallejo MLopez J(2001)Multi-way clustering techniques for system level partitioningProceedings 14th Annual IEEE International ASIC/SOC Conference (IEEE Cat. No.01TH8558)10.1109/ASIC.2001.954705(242-247)Online publication date: 2001
https://doi.org/10.1109/ASIC.2001.954705

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

A graph partitioning approach to SOM clustering

Constraint-driven clustering

A new hybrid method based on partitioning-based DBSCAN and ant clustering