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  • 标题:FPGA-based Accelerators for Parallel Data Sort
  • 作者:Valery Sklyarov ; Iouliia Skliarova ; Alexander Sudnitson
  • 期刊名称:Applied Computer Systems
  • 印刷版ISSN:2255-8691
  • 出版年度:2014
  • 卷号:16
  • 期号:1
  • 页码:53-63
  • DOI:10.1515/acss-2014-0013
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要: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).
  • 关键词:Merging ; performance analysis reconfigurable architectures ; sorting
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