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E. Ruzický, P. Farkas, T. Palenik, M. Rupp, A. Gameiro:
"Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations";
in: "Informatics 2013", issued by: Valerie Novitzká, Stefan Hudák; Department of Computers and Informatics, FEEI TU of Kosice, 2013, Kosice, 2013, ISBN: 978-80-8143-127-2, 349 - 354.

In this paper a novel approximate algorithm for
massively-parallel decoding of trellis based error correcting
codes (ECC) is presented. The potential effect of using such
optimized decoder on acceleration of simulations of modern
communication systems implementing the most recent
communication standards, such as LTE-A ( Long Term
Evolution - Advanced) is evaluated quantitatively by presenting
an original open source implementation in C running on a
graphical processor (GPU). The focus of this design is to provide
a seamless acceleration to Matlab simulations without breaking
compatibility with existing CPU-based simulation frameworks. A
quantitative throughput comparison with available open source
and proprietary solutions is also presented.

In this paper a novel approximate algorithm for
massively-parallel decoding of trellis based error correcting
codes (ECC) is presented. The potential effect of using such
optimized decoder on acceleration of simulations of modern
communication systems implementing the most recent
communication standards, such as LTE-A ( Long Term
Evolution - Advanced) is evaluated quantitatively by presenting
an original open source implementation in C running on a
graphical processor (GPU). The focus of this design is to provide
a seamless acceleration to Matlab simulations without breaking
compatibility with existing CPU-based simulation frameworks. A
quantitative throughput comparison with available open source
and proprietary solutions is also presented.

GPU, trellis-decoding, simulation acceleration, optimization

http://publik.tuwien.ac.at/files/PubDat_220985.pdf