By Topic

pSHS: A scalable parallel software implementation of Montgomery multiplication for multicore systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhimin Chen ; Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, 26061, USA ; Patrick Schaumont

Parallel programming techniques have become one of the great challenges in the transition from single-core to multicore architectures. In this paper, we investigate the parallelization of the Montgomery multiplication, a very common and time-consuming primitive in public-key cryptography. A scalable parallel programming scheme, called pSHS, is presented to map the Montgomery multiplication to a general multicore architecture. The pSHS scheme offers a considerable speedup. Based on 2-, 4-, and 8-core systems, the speedup of a parallelized 2048-bit Montgomery multiplication is 1.98, 3.74, and 6.53, respectively. pSHS delivers stable performance, high portability, high throughput and low latency over different multicore systems. These make pSHS a good candidate for public-key software implementations, including RSA, DSA, and ECC, based on general multicore platforms. We present a detailed analysis of pSHS, and verify it on dual-core, quad-core and eight-core prototypes.

Published in:

2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)

Date of Conference:

8-12 March 2010