DocumentCode :
3156793
Title :
Fast parallel table lookups to accelerate symmetric-key cryptography
Author :
Fiskiran, A. Murat ; Lee, Ruby B.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume :
1
fYear :
2005
fDate :
4-6 April 2005
Firstpage :
526
Abstract :
Table lookups are one of the most frequently-used operations in symmetric key ciphers. Particularly in the newer algorithms such as the advanced encryption standard (AES), we frequently find that the greatest fraction of the execution time is spent during table lookups, varying between 34% and 72% for the five representative ciphers we consider: AES, Blowfish, Twofish, MARS, and RC4. In order to accelerate and parallelize these table lookups, we describe a new parallel table lookup (ptlu) instruction. Our synthesis results indicate that such an instruction can be added to a basic RISC processor with no cycle time impact. We compare the performance of the ptlu instruction with the speedups available through more conventional architectural techniques such as multiple-issue execution. We find that the performance benefits of using the ptlu instruction can be far higher than increasing the number of instructions executed per cycle in superscalar or VLIW processors.
Keywords :
cryptography; instruction sets; multiprocessing systems; parallel architectures; reduced instruction set computing; table lookup; Blowfish; MARS; RC4; RISC processor; Twofish; VLIW processors; advanced encryption standard; fast parallel table lookups; multiple-issue execution; ptlu instruction; superscalar processors; symmetric key ciphers; symmetric-key cryptography; Acceleration; Aggregates; Communication networks; Computer aided instruction; Cryptography; IP networks; Mars; Reduced instruction set computing; Table lookup; VLIW;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
Type :
conf
DOI :
10.1109/ITCC.2005.151
Filename :
1428516
Link To Document :
بازگشت