Vectorized AES core for high-throughput secure environments

Miquel Pericàs*, Ricardo Chaves, Georgi N. Gaydadjiev, Stamatis Vassiliadis, Mateo Valero

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)


Parallelism has long been used to increase the throughput of applications that process independent data. With the advent of multicore technology designers and programmers are increasingly forced to think in parallel. In this paper we present the evaluation of an encryption core capable of handling multiple data streams. The design is oriented towards future scenarios for internet, where throughput capacity requirements together with privacy and integrity will be critical for both personal and corporate users. To power such scenarios we present a technique that increases the efficiency of memory bandwidth utilization of cryptographic cores. We propose to feed cryptographic engines with multiple streams to better exploit the available bandwidth. To validate our claims, we have developed an AES core capable of encrypting two streams in parallel using either ECB or CBC modes. Our AES core implementation consumes trivial amount of resources when a Virtex-II Pro FPGA device is targeted.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2008 - 8th International Conference, Revised Selected Papers
Place of PublicationBerlin
Number of pages12
ISBN (Print)3540928588, 9783540928584
Publication statusPublished - 1-Dec-2008
Externally publishedYes
Event8th International Conference on High Performance Computing for Computational Science, VECPAR 2008 - Toulouse, France
Duration: 24-Jun-200827-Jun-2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5336 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference8th International Conference on High Performance Computing for Computational Science, VECPAR 2008


  • Encryption
  • Parallel and distributed computing

Cite this