Data-movement-intensive Problems

Data-movement-intensive Problems

Auteur : Selim G. Akl, Michel Cosnard, Afonso G. Ferreira

Date de publication : 1990

Éditeur : Ecole Normale Supérieure de Lyon. Laboratoire de l'Informatique du Parallélisme [LIP]

Nombre de pages : 17

Résumé du livre

Abstract: "Two 'folk theorems' that permeate the parallel computation literature are reconsidered in this paper. The first of these, known as the Speedup Theorem, states that the maximum speedup a sequential computation can undergo when p processors are used is p. The second theorem, known as Brent's theorem, states that a computation requiring one step and n processors can be executed by p processors in at most [n/p] steps. We show that these two theorems are not true in general. Specifically, we exhibit for each theorem a problem to which the theorem does not apply.

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