GPU-Like On-Chip System for Decoding LDPC Codes

Abstract : Rapid prototyping is an important step in the development and the verification of computationally demanding tasks of digital communication systems, such as Forward Error Correction (FEC) decoding. The goal is to replace time-consuming simulations based on abstract models of the system with real-time experiments under real-world conditions. GPU-like architecture is a promising approach to fully exploit the potential of FPGA-based acceleration platforms. In this article, an application-specific GPU-like architecture and a complete compilation framework for decoding LDPC codes are proposed. The interest in an application-specific GPU in comparison with current GPUs is detailed. Finally, real-time experimentations demonstrate the potential of the GPU-like decoder to investigate both algorithmic and architectural issues.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-00980616
Contributor : Bertrand Le Gal <>
Submitted on : Friday, April 18, 2014 - 1:52:18 PM
Last modification on : Thursday, September 12, 2019 - 8:38:08 AM

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Bertrand Le Gal, Christophe Jégo. GPU-Like On-Chip System for Decoding LDPC Codes. ACM Transactions on Embedded Computing Systems (TECS), ACM, 2014, 13 (4), pp.95. ⟨10.1145/2538668⟩. ⟨hal-00980616⟩

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