Mapping Computation with No Memory - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2009

Mapping Computation with No Memory

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. We consider several types of mappings and obtain effective computation and decomposition methods, together with upper bounds on the program length (number of assignments). Our technique is combinatorial and algebraic (graph coloration, partition ordering, modular arithmetics). For general mappings, we build a program with maximal length $5n-4$, or $2n-1$ for bijective mappings. The length is reducible to $4n-3$ when $|S|$ is a power of~$2$. This is the main combinatorial result of the paper, which can be stated equivalently in terms of multistage interconnection networks as: any mapping of $\{0,1\}^n$ can be performed by a routing in a double $n$-dimensional Benes network. Moreover, the maximal length is $2n-1$ for linear mappings when $S$ is any field, or a quotient of an Euclidean domain (e.g. $Z/sZ$). In this case the assignments are also linear, thereby particularly efficient from the algorithmic viewpoint. The ''in situ'' trait of the programs constructed here applies to optimization of program and chip design with respect to the number of variables, since no extra writing memory is used. In a non formal way, our approach is to perform an arbitrary transformation of objects by successive elementary local transformations inside these objects only with respect to their successive states.
Fichier principal
Vignette du fichier
ark__67375_HCB-M15JG9FH-0.pdf (248.25 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

lirmm-00395080 , version 1 (17-09-2019)

Identifiers

Cite

Serge Burckel, Emeric Gioan, Emmanuel Thomé. Mapping Computation with No Memory. UC 2009: Unconventional Computation, Sep 2009, Ponta Delgada, Portugal. pp.85-97, ⟨10.1007/978-3-642-03745-0_15⟩. ⟨lirmm-00395080⟩
278 View
167 Download

Altmetric

Share

Gmail Facebook X LinkedIn More