带有分区寄存器组的软件流水线的寄存器分配

Jason Hiser, S. Carr, P. Sweany, S. Beaty
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引用次数: 15

摘要

许多增加指令级并行性(ILP)的技术增加了CPU内部寄存器的压力。这些技术允许同时发生更多的操作,但代价是需要更多的寄存器来保存操作数和这些操作的结果,重要的是,寄存器组上有更多的端口来允许并发访问数据。改善寄存器库端口数量的一种方法(门中端口的成本随N/sup 2而变化,其中N是端口数量,增加端口会增加访问时间)是使用具有较少端口的多个寄存器库,每个端口连接到可用功能单元的一个子集。这减少了每个银行所需的端口数量,但如果必需的值不在附加的寄存器银行中,则必须插入复制操作,则可能会减慢操作速度。因此,在将操作分配给功能单元和将值分配给注册银行之间存在循环依赖关系。我们描述了一种通过将分区与调度和寄存器分配分离来产生良好代码的方法。我们的方法独立于调度技术和寄存器分配方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Register assignment for software pipelining with partitioned register banks
Many techniques for increasing the amount of instruction-level parallelism (ILP) put increased pressure on the registers inside a CPU. These techniques allow for more operations to occur simultaneously at the cost of requiring more registers to hold the operands and results of those operations, and importantly, more ports on the register banks to allow for concurrent access to the data. One approach of ameliorating the number of ports on a register bank (the cost of ports in gates varies as N/sup 2/ where N is the number of ports, and adding ports increases access time) is to have multiple register banks with fewer ports, each attached to a subset of the available functional units. This reduces the number of ports needed on a per-bank basis, but can slow operations if a necessary value is not in an attached register bank as copy operations must be inserted. Therefore, there is a circular dependence between assigning operations to functional units and assigning values to register banks. We describe an approach that produces good code by separating partitioning from scheduling and register assignment. Our method is independent of both the scheduling technique and register assignment method used.
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