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Model-Based Design of Flexible and Efficient LDPC Decoders on FPGA Devices

机译:基于模型的FPGA设备灵活高效的LDPC解码器设计

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Advances in digital communication advocate for the use of hardware LDPC decoders in applications requiring reliable and fast information transfer. Hand-coded RTL architectures provide the highest performances but slower the path to IP design. By the use of HLS-based methodology, a number of approaches exists to facilitate development and to rapidly incorporate hardware accelerators into end-user applications. In this paper we present a generic SystemC behavioral model to generate efficient hardware LDPC decoders using Xilinx Vivado HLS. We evaluate the performance of provided architectures and assess efficiency over competing approaches. Hardware complexity reduction up to 10x are shown whereas the throughput speedups are between 1.5x and 16x. The provided architectures have performance in the same order of magnitude of handcrafted RTL architectures.
机译:数字通信倡导者在需要可靠和快速信息传输的应用中使用硬件LDPC解码器的倡导者。手工编码的RTL架构提供最高性能,但对IP设计的路径速度较慢。通过使用基于HLS的方法,存在许多方法来促进开发,并将硬件加速器迅速纳入最终用户应用程序。在本文中,我们介绍了一种使用Xilinx Vivado HLS生成有效的硬件LDPC解码器的通用系统的行为模型。我们评估提供的架构的表现,并评估竞争方法的效率。显示硬件复杂性降低高达10倍,而吞吐量加速度在1.5倍和16倍之间。提供的架构具有以相同的手工RTL架构顺序具有性能。

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