HETEROGENEOUS GPU&CPU CLUSTER FOR HIGH PERFORMANCE COMPUTING IN CRYPTOGRAPHY

Michał Marks; Jaroslaw Jantura; Ewa Niewiadomska-Szynkiewicz; Przemysław Strzelczyk; Krzysztof Gozdz

doi:10.7494/csci.2012.13.2.63

Authors

Michał Marks Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 06-665 Warsaw, Poland, mmarks@ia.pw.edu.pl; Research and Academic Computer Network (NASK), Wawozowa 18, 02-796 Warsaw, Poland,
Jaroslaw Jantura Research and Academic Computer Network (NASK), Wawozowa 18, 02-796 Warsaw, Poland,
Ewa Niewiadomska-Szynkiewicz Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 06-665 Warsaw, Poland, ens@ia.pw.edu.pl; Research and Academic Computer Network (NASK), Wawozowa 18, 02-796 Warsaw, Poland,
Przemysław Strzelczyk Research and Academic Computer Network (NASK), Wawozowa 18, 02-796 Warsaw, Poland
Krzysztof Gozdz Hewlett-Packard Poland

DOI:

https://doi.org/10.7494/csci.2012.13.2.63

Keywords:

parallel computing, HPC, clusters, GPU computing, OpenCL, cryptography, cryptanalysis

Abstract

This paper addresses issues associated with distributed computing systems and
the application of mixed GPU&CPU technology to data encryption and decryption
algorithms. We describe a heterogenous cluster HGCC formed by two
types of nodes: Intel processor with NVIDIA graphics processing unit and AMD
processor with AMD graphics processing unit (formerly ATI), and a novel software
framework that hides the heterogeneity of our cluster and provides tools
for solving complex scientific and engineering problems. Finally, we present the
results of numerical experiments. The considered case study is concerned with
parallel implementations of selected cryptanalysis algorithms. The main goal of
the paper is to show the wide applicability of the GPU&CPU technology to
large scale computation and data processing.