Fpga-based hardware accelerators
Auteur :
Skliarova, Iouliia / Sklyarov, Valery
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030207236
Date de publication :
14 août 2020
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators.