Liquid Brain: The Proof of Algorithmic Universality of Quasichemical Model of Fine-grained Parallelism
Abstract
A new formal model of parallel computations - the Kirdin kinetic machine - is suggested in [1]. It is expected that this model will play the role for parallel computations similar to Markov normal algorithms, Kolmogorov and Turing machine or Post schemes for sequential computations. The basic ways in which computations are realized are described; correctness of the elementary programs for the Kirdin kinetic machine is investigated. It is proved that the deterministic Kirdin kinetic machine is an effective calculator. A simple application of the Kirdin kinetic machine - heap encoding - is suggested. Subprograms similar to usual programming enlarge the Kirdin kinetic machine.
Recommended Citation
A. N. Gorban et al., "Liquid Brain: The Proof of Algorithmic Universality of Quasichemical Model of Fine-grained Parallelism," Neural Network World, International Data Group, Apr 2001.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Distributed Computing; Fine-Grained Parallelism; Parallel Computations
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2001 International Data Group, All rights reserved.
Publication Date
01 Apr 2001