Abstract
The paper offers an associative-neural-net method to optimize resource allocation between independent tasks in a multiprocessor system. In the case of a dual-core CPU the method allows the task to be fully solved in \(O\left(M\right)\) operations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Casavant, T.L., Kuhl, J.G.: A taxonomy of scheduling in general-purpose distributed computing system. IEEE Trans. on Software Engineering 14(2) (1988)
Bruno, J., Coffman, E.G., Sethi, R.: Scheduling independent tasks to reduce mean finishing time. Communications of the ACM 17(7) (1974)
Coffman, E.G., Graham, R.L.: Optimal scheduling for two processor systems. Acta Informatica 1(3) (1972)
Coffman, E.G., Sethi, R.: Algorithms minimizing mean flow-time. Acta Informatica 6(1) (1976)
Horn, W.A.: Minimizing average flow time with parallel machines. Opera- Operations Research 21(3) (1973)
Kleinrock, L., Nikon, A.: On optimal scheduling algorithms for time-shared systems. Journal of the ACM 28(3) (1981)
Haykin, S.: Neural Networks. A Comprehensive Foundation. Prentice Hall Inc., Englewood Cliffs (1999)
Kryzhanovsky, B.V., Magomedov, B.M., Mikaelian, A.L.: Relationship between Depth of Local Minimum and Probability of His Detection in Generalized Hopfield Model. Lectures of Academy of Sciences 40(3) (2005) (in Russian)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kryzhanovsky, M., Malsagov, M. (2008). Distribution Stream of Tasks in Dual-Processor System. In: Kůrková, V., Neruda, R., Koutník, J. (eds) Artificial Neural Networks - ICANN 2008. ICANN 2008. Lecture Notes in Computer Science, vol 5164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87559-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-87559-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87558-1
Online ISBN: 978-3-540-87559-8
eBook Packages: Computer ScienceComputer Science (R0)