FPGA-based Accelerators for Parallel Data Sort

The paper is dedicated to parallel data sort based on sorting networks. The proposed methods and circuits have the following characteristics: 1) using two-level parallel comparators in even-odd transition networks with feedback to a register keeping input/intermediate data; 2) parallel merging of many sorted sequences; 3) using even-odd transition networks built from other sorting networks; 4) rational reuse of comparators in different types of networks, namely even-odd transition and for discovering maximum/minimum values. The experiments in FPGA, which were done for up to 16×220 32-bit data items, demonstrate very good results (as fast as 3-5 ns per data item)..

Medienart:

E-Artikel

Erscheinungsjahr:

2014

Erschienen:

2014

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Applied Computer Systems - 16(2014), 1, Seite 53-63

Sprache:

Englisch

Beteiligte Personen:

Sklyarov Valery [VerfasserIn]
Skliarova Iouliia [VerfasserIn]
Sudnitson Alexander [VerfasserIn]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
doi.org [kostenfrei]
Journal toc [kostenfrei]

Themen:

Computer software
Merging
Performance analysis reconfigurable architectures
Sorting

doi:

10.1515/acss-2014-0013

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

DOAJ060250798