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The case for Globally Irregular Locally Regular Algorithm Architecture Adequation

Pierre Boulet 1, 2, * Ashish Meena 1, 2
* Corresponding author
2 DART - Contributions of the Data parallelism to real time
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : In modern embedded systems, parallelism is a good way to reduce power consumption while respecting the real-time constraints. To achieve this, one needs to efficiently exploit the potential parallelism of the application and of the architecture. We propose in this paper a hybrid optimization method to improve the handling of repetitions in both the algorithm and the architecture. The approach is called Globally Irregular Locally Regular and consists in combining irregular heuristics and regular ones to take advantage of the strong points of both.
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https://hal.inria.fr/inria-00565175
Contributor : Pierre Boulet <>
Submitted on : Friday, February 11, 2011 - 10:39:00 AM
Last modification on : Tuesday, June 4, 2019 - 4:24:07 PM

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Pierre Boulet, Ashish Meena. The case for Globally Irregular Locally Regular Algorithm Architecture Adequation. Journées Francophones sur l'Adéquation Algorithme Architecture (JFAAA'05), 2005, Dijon, France. ⟨inria-00565175⟩

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