The Dandelion-like codes are eight bijections between labeled trees and strings of node labels. The literature contains optimal sequential algorithms for these bijections, but no parallel algorithms have been reported. In this paper the first parallel encoding and decoding algorithms for Dandelion-like codes are presented. Namely, a unique encoding algorithm and a unique decoding algorithm, which when properly parameterized, can be used for all Dandelion-like codes, are designed. These algorithms are optimal in the sequential setting. The encoding algorithm implementation on an EREW PRAM is optimal, while the efficient implementation of the decoding algorithm requires concurrent reading. © 2010 Elsevier Inc. All rights reserved.
Unified parallel encoding and decoding algorithms for Dandelion-like codes / Saverio, Caminiti; Petreschi, Rossella. - In: JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. - ISSN 0743-7315. - STAMPA. - 70:11(2010), pp. 1119-1127. [10.1016/j.jpdc.2010.07.003]
Unified parallel encoding and decoding algorithms for Dandelion-like codes
PETRESCHI, Rossella
2010
Abstract
The Dandelion-like codes are eight bijections between labeled trees and strings of node labels. The literature contains optimal sequential algorithms for these bijections, but no parallel algorithms have been reported. In this paper the first parallel encoding and decoding algorithms for Dandelion-like codes are presented. Namely, a unique encoding algorithm and a unique decoding algorithm, which when properly parameterized, can be used for all Dandelion-like codes, are designed. These algorithms are optimal in the sequential setting. The encoding algorithm implementation on an EREW PRAM is optimal, while the efficient implementation of the decoding algorithm requires concurrent reading. © 2010 Elsevier Inc. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.