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Book ChapterDOI

Optimal Interval Routing

TLDR
This paper investigates the study of optimal interval routing functions, that is routing functions that construct shortest paths, and derives practical tools that allow to determine if a network supports or not an optimal intervals routing function.
Abstract
Interval routing was introduced to reduce the size of the routing tables. This way of implementing routing functions is quite attractive but very few is known on the topological properties that should satisfy a network to admit an interval routing function satisfying particular constraints (shortest paths, limited number of intervals associated to each direction, etc). In this paper, we investigate the study of optimal interval routing functions, that is routing functions that construct shortest paths. In particular we derive practical tools that allow to determine if a network supports or not an optimal interval routing function. We describe large classes of networks that admit optimal interval routing functions. We also study the case of the usual networks that interconnect the processors of a distributed memory parallel computer.

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Citations
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Proceedings ArticleDOI

Memory requirement for routing in distributed networks

TL;DR: It is proved that for every shortest path routing scheme, for any constant e, O < c < 1, and for every integer d such that 3 ~ d < En, there exists a n-node network of maximum degree d that locally requires @(n log d) bits of memory on El(n) nodes.
Proceedings ArticleDOI

Memory requirement for universal routing schemes

TL;DR: This paper deals with the compact routing problem, that is implementing routing schemes that use a minimum memory size on each router, and improves this bound for stretch factors s < 2 by proving that any near-shortest path routing scheme uses a total of Q(n2) memory bits.
Journal ArticleDOI

The Complexity of Interval Routing on Random Graphs

TL;DR: It is shown that for suitably large n, there are suitable values of p such that for randomly chosen graphs G ∈?
Journal ArticleDOI

Worst Case Bounds for Shortest Path Interval Routing

TL;DR: This paper constructs a networkG ofnnodes with Irs(G)??(n), thereby improving on the best known lower bound of
Journal ArticleDOI

The complexity of shortest path and dilation bounded interval routing

TL;DR: A routing algorithm with the dilation ⌈1.5D⌉ and the compactness O ( n log n ) on n -node networks with the diameter D .
References
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Book

Introduction to Parallel Algorithms and Architectures: Arrays, Trees, Hypercubes

TL;DR: This chapter discusses sorting on a Linear Array with a Systolic and Semisystolic Model of Computation, which automates the very labor-intensive and therefore time-heavy and expensive process of manually sorting arrays.
Journal ArticleDOI

Parallel Processing with the Perfect Shuffle

TL;DR: Given a vector of N elements, the perfect shuffle of this vector is a permutation of the elements that are identical to aperfect shuffle of a deck of cards.
Journal ArticleDOI

The cube-connected cycles: a versatile network for parallel computation

TL;DR: This work describes in detail how to program the cube-connected cycles for efficiently solving a large class of problems that include Fast Fourier transform, sorting, permutations, and derived algorithms.
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