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Energy-efficient reconfigurable processor for QC-LDPC via adaptive coding-voltage-frequency tuning
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作者 Chang Libo Hu Yiqing +1 位作者 Du Huimin Wang Jihe 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2024年第2期72-84,共13页
To apply a quasi-cyclic low density parity check(QC-LDPC)to different scenarios,a data-stream driven pipelined macro instruction set and a reconfigurable processor architecture are proposed for the typical QC-LDPC alg... To apply a quasi-cyclic low density parity check(QC-LDPC)to different scenarios,a data-stream driven pipelined macro instruction set and a reconfigurable processor architecture are proposed for the typical QC-LDPC algorithm.The data-level parallelism is improved by instructions to dynamically configure the multi-core computing units.Simultaneously,an intelligent adjustment strategy based on a programmable wake-up controller(WuC)is designed so that the computing mode,operating voltage,and frequency of the QC-LDPC algorithm can be adjusted.This adjustment can improve the computing efficiency of the processor.The QC-LDPC processors are verified on the Xilinx ZCU102 field programmable gate array(FPGA)board and the computing efficiency is measured.The experimental results indicate that the QC-LDPC processor can support two encoding lengths of three typical QC-LDPC algorithms and 20 adaptive operating modes of operating voltage and frequency.The maximum efficiency can reach up to 12.18 Gbit/(s·W),which is more flexible than existing state-of-the-art processors for QC-LDPC. 展开更多
关键词 quasi-cyclic low density parity check(QC-LDPC) dynamic voltage and frequency scaling(DVFS) reconfigurable computing coarse-grained reconfigurable arrays(CGRAs)
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基于预配置和配置重用的粗粒度动态可重构系统任务调度技术 被引量:7
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作者 戴紫彬 曲彤洲 《电子与信息学报》 EI CSCD 北大核心 2019年第6期1458-1465,共8页
配置时间过长是制约可重构系统整体性能提升的重要因素,而合理的任务调度技术可有效降低系统配置时间。该文针对粗粒度动态可重构系统(CGDRS)和具有数据依赖关系的流应用,提出了一种3维任务调度模型。首先基于该模型,设计了一种基于预... 配置时间过长是制约可重构系统整体性能提升的重要因素,而合理的任务调度技术可有效降低系统配置时间。该文针对粗粒度动态可重构系统(CGDRS)和具有数据依赖关系的流应用,提出了一种3维任务调度模型。首先基于该模型,设计了一种基于预配置策略的任务调度算法(CPSA);然后根据任务间的配置重用性,提出了间隔配置重用与连续配置重用策略,并据此对CPSA算法进行改进。实验结果证明,CPSA算法能够有效解决调度死锁问题、降低流应用执行时间并提高调度成功率。与其它调度算法相比,对流应用执行时间的平均优化比例达到6.13%~19.53%。 展开更多
关键词 粗粒度动态可重构系统 流应用 预配置 配置重用
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