通过资源奉献来抑制寄存器写

Pushkar Tripathi, Rohan Jain, S. Kurra, P. Panda
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引用次数: 3

摘要

我们提出REWIRED(寄存器写入抑制资源分配),这是一种通过选择性地抑制功能单元(FU)输出数据存储到寄存器中来降低高级合成(HLS)期间功耗的技术。当在一个时钟周期中产生的数据在下一个周期中使用时,HLS通常推断寄存器。然而,当可以确定FU的输入寄存器在一段时间内不改变值时,这段时间内的输出可以直接从FU的输出引脚读取,而无需将其存储在寄存器中。当这些数据的寿命很短时,可以完全消除寄存器存储操作,从而降低功耗。我们提出了一种遗传算法公式和一种启发式算法,用于在行为合成过程中最大化可在调度数据流图(DFG)中被抑制的寄存器存储数量。
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REWIRED - Register Write Inhibition by Resource Dedication
We propose REWIRED (register write inhibition by resource dedication), a technique for reducing power during high level synthesis (HLS) by selectively inhibiting the storage of function unit (FU) output data into registers. Registers are generally inferred in HLS when data produced in one clock cycle is used in a later cycle. However, when it can be established that the input registers to an FU are not changing values during a certain period, the outputs during this period can be directly read off the FU output pins without needing to store them in registers. When the life-times of such data are short, it may be possible to completely eliminate the register storage operation, thereby reducing power. We present a genetic algorithm formulation and a heuristic for maximizing the number of register stores that can be inhibited in a scheduled data flow graph (DFG) during behavioral synthesis.
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