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A Novel Design Methodology for High-Performance Programmable Decoder Cores for AA-LDPC Codes

机译:用于AA-LDPC码的高性能可编程解码器核的新颖设计方法

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A new parameterized-core-based design methodology targeted for programmable decoders for low-density parity-check (LDPC) codes is proposed. The methodology solves the two major drawbacks of excessive memory overhead and complex on-chip interconnect typical of existing decoder implementations which limit the scalability, degrade the error-correction capability, and restrict the domain of application of LDPC codes. Diverse memory and interconnect optimizations are performed at the code-design, decoding algorithm, decoder architecture, and physical layout levels, with the following features: (1) Architecture-aware (AA)-LDPC code design with embedded structural features that significantly reduce interconnect complexity, (2) faster and memory-efficient turbo-decoding algorithm for LDPC codes, (3) programmable architecture having distributed memory, parallel message processing units, and dynamic/scalable transport networks for routing messages, and (4) a parameterized macro-cell layout library implementing the main components of the architecture with scaling parameters that enable low-level transistor sizing and power-rail scaling for power-delay-area optimization. A 14.3 mm~2 programmable decoder core for a rate-1/2, length 2048 AA-LDPC code generated using the proposed methodology is presented, which delivers a throughput of 6.4 Gbps at 125 MHz and consumes 787 mW of power.
机译:针对低密度奇偶校验(LDPC)码的可编程解码器,提出了一种新的基于参数核的设计方法。该方法解决了现有解码器实现中典型的过多的存储器开销和复杂的片上互连这两个主要缺陷,这限制了可伸缩性,降低了纠错能力并限制了LDPC码的应用范围。在代码设计,解码算法,解码器体系结构和物理布局级别上执行各种内存和互连优化,具有以下功能:(1)具有嵌入式结构特征的架构感知(AA)-LDPC代码设计,可显着减少互连(2)用于LDPC码的更快且内存效率更高的Turbo解码算法,(3)具有分布式内存,并行消息处理单元以及用于路由消息的动态/可缩放传输网络的可编程体系结构,以及(4)参数化的宏单元布局库通过缩放参数实现了体系结构的主要组件,这些缩放参数可实现低级晶体管尺寸调整和电源轨缩放,以实现功率延迟区域优化。提出了使用所提出的方法生成的速率为1/2,长度为2048的AA-LDPC码的14.3 mm〜2可编程解码器内核,该内核在125 MHz时的吞吐量为6.4 Gbps,功耗为787 mW。

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