DocumentCode :
227559
Title :
Efficient GF arithmetic for linear network coding using hardware SIMD extensions
Author :
Gunther, Stephan M. ; Riemensberger, Maximilian ; Utschick, Wolfgang
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. Munchen, Munich, Germany
fYear :
2014
fDate :
27-28 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
A limiting factor for the performance of coded packet networks is the inherent arithmetic complexity of network coding. This is in particular true for high-throughput networks such as IEEE802.11n/ac, but also for lower throughput embedded and mobile systems as well as for alternate applications of network coding such as replication of data in distributed systems. While arithmetic complexity is normally not an issue when operating in GF(2), any higher order fields suffer a severe performance degradation. This paper presents hardware-efficient implementations for GF(2), GF(22), GF(24), and GF(28) using different levels of SIMD extensions offered by the ×86 and ARM processor architectures. The results are compared to scalar implementations without SIMD, showing an increase of up to factor 15 (×86) and 5 (ARM), respectively. The implementation of the finite field arithmetic called libmoepgf is published under GPLv2 at [1].
Keywords :
computational complexity; linear codes; network coding; parallel architectures; ARM processor architectures; GF arithmetic; IEEE802.11n/ac; arithmetic complexity; coded packet networks; distributed systems; finite field arithmetic; hardware SIMD extensions; hardware-efficient implementations; high-throughput networks; higher order fields; linear network coding; Encoding; Network coding; Polynomials; Registers; Table lookup; Throughput; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Coding (NetCod), 2014 International Symposium on
Conference_Location :
Aalborg
Type :
conf
DOI :
10.1109/NETCOD.2014.6892123
Filename :
6892123
Link To Document :
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