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A continuous time markov decision process based on-chip buffer allocation methodology
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Source Great Lakes Symposium on VLSI archive
Proceedings of the 15th ACM Great Lakes symposium on VLSI table of contents
Chicago, Illinois, USA
POSTER SESSION: Poster session 2 table of contents
Pages: 345 - 348  
Year of Publication: 2005
ISBN:1-59593-057-4
Authors
S. Kallakuri  Stony Brook University, Stony Brook, NY
N. Thepayasuwan  Stony Brook University, Stony Brook, NY
A. Doboli  Stony Brook University, Stony Brook, NY
E. A. Feinberg  Stony Brook University, Stony Brook, NY
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 15,   Citation Count: 1
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ABSTRACT

We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer space and presents a method to distribute this finite space in an optimal fashion. Such a methodology is useful in managing the scarce buffer resources available on chip as compared to network based data communication which can have large buffer space. The methodology also uses Continuous Time Markov Decision Processes CTMDPs. The modeling of this problem in terms of a CTMDP framework lead to a nonlinear formulation due to usage of bridges in the bus architecture. We present a methodology to split the problem into several smaller, though linear systems and we then solve these subsystems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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E. Feinberg. Optimal control of average reward constrained continuous time finite markov decision processes. Proceedings of the IEEE Conference on Decision and Control, pages 3805--3810, 2002.
 
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E. Feinberg and A. Shwartz. Handbook of Markov Decision Processes methods and applications. Kluwer, 2002.
 
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C. Taylor and S. Dey. Orbit: An adaptive data shaping technique for robust wireless video clip communication. Proc. of Asilomar Conference on Signals,Systems and Computers, pages 3081--3085, 2003.


Collaborative Colleagues:
S. Kallakuri: colleagues
N. Thepayasuwan: colleagues
A. Doboli: colleagues
E. A. Feinberg: colleagues