research10.1109/SIPS.2010.5624788

Implementation of a 3GPP LTE Turbo Decoder Accelerator on GPU

Abstract

This paper presents a 3GPP LTE compliant turbo decoder accelerator on GPU. The challenge of implementing a turbo decoder is finding an efficient mapping of the decoder algorithm on GPU, e.g. finding a good way to parallelize workload across cores and allocate and use fast on-die memory to improve throughput. In our implementation, we increase throughput through 1) distributing the decoding workload for a codeword across multiple cores, 2) decoding multiple codewords simultaneously to increase concurrency and 3) employing memory optimization techniques to reduce memory bandwidth requirements. In addition, we analyze how different MAP algorithm approximations affect both throughput and bit error rate (BER) performance of this decoder

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oai:scholarship.rice.edu:1911/64233Last time updated on 6/11/2012View original full text link

This paper was published in DSpace at Rice University.

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