GPUMP: A multiple-precision integer library for GPUs

Kaiyong Zhao*, Xiaowen CHU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Multiple-precision integer operations are key components of many security applications; but unfortunately they are computationally expensive on contemporary CPUs. In this paper, we present our design and implementation of a multiple-precision integer library for GPUs which is implemented by CUDA. We report our experimental results which show that a significant speedup can be achieved by GPUs as compared with the GNU MP library on CPUs.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
Pages1164-1168
Number of pages5
DOIs
Publication statusPublished - 2010
Event10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 - Bradford, United Kingdom
Duration: 29 Jun 20101 Jul 2010

Publication series

NameProceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

Conference

Conference10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010
Country/TerritoryUnited Kingdom
CityBradford
Period29/06/101/07/10

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

User-Defined Keywords

  • CUDA
  • GPU
  • Multiple-precision algorithm

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