DocumentCode
3046316
Title
Concurrency vs. sequential interleavings in 1-D threshold cellular automata
Author
Tosic, Predrag ; Agha, Gul
Author_Institution
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
fYear
2004
fDate
26-30 April 2004
Firstpage
179
Abstract
Summary form only given. Cellular automata (CA) are an abstract model of fine-grain parallelism: the individual node update operations are rather simple, and therefore comparable to the basic operations of the computer hardware, yet the power of the model stems from the interaction and synergy of these simple local node computations that can often generate highly complex global behavior. In classical CA, all the nodes execute their operations in parallel, that is, (logically) simultaneously. We consider herein the sequential version of CA, or SCA, and compare and contrast SCA with the classical, parallel CA. We show that there are 1D CA with simple nonlinear node state update rules that cannot be simulated by any comparable SCA, irrespective of the node update ordering. While the result is trivial if one considers a single automaton´s computations, we find this property quite interesting and having important implications when applied to all possible computations of entire nontrivial classes of CA (SCA). We also share some thoughts on how to extend the results herein, and, in particular, we try to motivate the study of genuinely asynchronous cellular automata.
Keywords
cellular automata; concurrency theory; parallel processing; 1D threshold cellular automata; asynchronous cellular automata; computer hardware; fine-grain parallelism; individual node update operations; sequential interleavings; Analog computers; Computational modeling; Computer science; Concurrent computing; Hardware; High performance computing; Interleaved codes; Laboratories; Open systems; Parallel processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International
Print_ISBN
0-7695-2132-0
Type
conf
DOI
10.1109/IPDPS.2004.1303188
Filename
1303188
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