A six-state minimal time solution to the firing squad synchronization problem
Theoretical Computer Science
On optimal solutions to the firing squad synchronization problem
Theoretical Computer Science - Special issue on universal machines and computations
Parallel Computing - Special issue on cellular automata: from modeling to applications
Smaller solutions for the firing squad
Theoretical Computer Science
Fundamenta Informaticae - Special issue on cellular automata
Linear Time Language Recognition on Cellular Automata with Restricted Communication
LATIN '00 Proceedings of the 4th Latin American Symposium on Theoretical Informatics
Real-time generation of primes by a 1-bit-communication cellular automaton
Fundamenta Informaticae - Special issue on cellular automata
Bounding the firing synchronization problem on a ring
Theoretical Computer Science
Computation: finite and infinite machines
Computation: finite and infinite machines
A synchronization problem on 1-bit communication cellular automata
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
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In this paper, we study a trade-off between internal states and communication bits in firing squad synchronization protocols for k-bit communication-restricted cellular automata (CAk−bit) and propose several time-optimum state-efficient bit-transfer-based synchronization protocols It is shown that there exists a 1-state CA5−bit that can synchronize any n cells in 2n-2 optimum-step The result is interesting, since we know that there exists no 4-state synchronization algorithm on conventional O(1)-bit communication cellular automata A bit-transfer complexity is also introduced to measure the efficiency of synchronization protocols We show that Ω (n logn) bit-transfer is a lower-bound for synchronizing n cells in (2n-2) steps In addition, each optimum-time/non-optimum-time synchronization protocols, presented in this paper, has an O(n2) bit-transfer complexity, respectively.