探索循环展开因子和功能数据路径的高级综合方法

Pallabi Sarkar, M. K. Naskar, A. Sengupta
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引用次数: 0

摘要

高级合成(HLS)是数字信号处理(DSP)内核设计过程的主干。在HLS中进一步的设计空间探索(DSE)是相当具有挑战性的。然而,由于涉及影响设计面积/功率和延迟的复杂变量(称为“环路展开因子”),DSE过程对于控制DSP内核(带环路)变得更加复杂。提出了一种利用遗传算法同时探索满足用户指定设计约束的循环展开因子和功能数据路径功能单元的过程。结果在多种DSP核上进行了测试,并对遗传算法进行了灵敏度分析。所提出的方法在大多数情况下都能成功地收敛于最优解。
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High Level Synthesis Methodology for Exploring Loop Unrolling Factor and Functional Datapath
High level synthesis (HLS) forms the backbone of design process for digital signal processing (DSP) kernels. Further design space exploration (DSE) in HLS is quite challenging. However, DSE process becomes more intricate for control DSP kernels (with loops) due to the involvement of a complex variable affecting design area/power and latency called’ loop unrolling factor’. This paper presents a process for exploring loop unrolling factor and functional datapath functional units concurrently using genetic algorithm (GA) that meets the user specified design constraints. Results have been tested on variety of DSP kernels along with the sensitivity analysis of GA. The presented approach has been successfully able to converge on optimal solutions in most cases for the tested DSP kernels.
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