Time and Space Measures for a Complete Graph Computation Model

Brian Courtehoute
(University of York)
Detlef Plump
(University of York)

We present a computation model based on a subclass of GP 2 graph programs which can simulate any off-line Turing machine of space complexity O(s(n) log s(n)) in space O(s(n)). The simulation only requires a quadratic time overhead. Our model shares this property with Schönhage's storage modification machines and Kolmogorov-Uspenskii machines. These machines use low-level pointer instructions whereas our GP 2-based model uses pattern-based transformation rules and high-level control constructs.

In Reiko Heckel and Christopher M. Poskitt: Proceedings of the Thirteenth International Workshop on Graph Computation Models (GCM 2022), Nantes, France, 6th July 2022, Electronic Proceedings in Theoretical Computer Science 374, pp. 23–44.
Published: 22nd December 2022.

ArXived at: https://dx.doi.org/10.4204/EPTCS.374.4 bibtex PDF
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