Computation with No Memory, and Rearrangeable Multicast Networks
Serge Burckel, Emeric Gioan, Emmanuel Thom\'e

TL;DR
This paper explores in situ computation of mappings without memory, relating it to rearrangeable multicast networks, and introduces new methods for constructing minimal-length programs for various types of mappings.
Contribution
It provides new bounds and methods for in situ computation of mappings, linking these to multicast network rearrangements, including novel algorithms for linear and arbitrary mappings.
Findings
Bijective mappings can be computed with 2n - 1 modifications.
New methods for arbitrary mappings with length up to 4n-3.
Linear mappings over fields or Euclidean domains can be computed with length 2n - 1.
Abstract
We investigate the computation of mappings from a set S^n to itself with "in situ programs", that is using no extra variables than the input, and performing modifications of one component at a time, hence using no memory. In this paper, we survey this problem introduced in previous papers by the authors, we detail its close relation with rearrangeable multicast networks, and we provide new results for both viewpoints. A bijective mapping can be computed by 2n - 1 component modifications, that is by a program of length 2n - 1, a result equivalent to the rearrangeability of the concatenation of two reversed butterfly networks. For a general arbitrary mapping, we give two methods to build a program with maximal length 4n-3. Equivalently, this yields rearrangeable multicast routing methods for the network formed by four successive butterflies with alternating reversions. The first method…
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Taxonomy
TopicsInterconnection Networks and Systems · Advanced Optical Network Technologies · Advanced Graph Theory Research
