利用动态码序列改进超标量指令的调度和发布

S. Vajapeyam, T. Mitra
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引用次数: 120

摘要

超标量处理器目前有可能通过采用最近提出的几种指令获取机制之一,在每个周期中获取多个基本块。然而,除非下游的管道阶段相应改善,否则无法利用增加的获取带宽。特别是,每个周期重命名大量指令是困难的。每个周期需要接收多个基本块的大指令窗口将减慢依赖性解决和指令发布。本文通过提出(i)将指令窗口划分为多个块,每个块持有一个动态代码序列来解决这些问题和相关问题;(ii)将寄存器文件逻辑划分为一个全局文件和几个本地文件,后者保存动态代码序列的本地寄存器;(iii)动态记录和重用寄存器重命名信息,用于动态代码序列的本地寄存器。性能研究表明,对于SPEC Integer程序,这些机制比传统的超标量处理器的性能提高了1.5到略高于3倍。接下来,可以观察到基准测试中的几个循环在执行期间显示出类似向量的行为,即使静态循环主体对于编译时矢量化来说可能很复杂。简要概述了建立在上述机制之上的动态循环矢量化机制。尽管每个循环的平均迭代次数非常少,但该机制对某些程序的动态指令的矢量化率高达60%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Superscalar Instruction Dispatch And Issue By Exploiting Dynamic Code Sequences
Superscalar processors currently have the potential to fetch multiple basic blocks per cycle by employing one of several recently proposed instruction fetch mechanisms. However, this increased fetch bandwidth cannot be exploited unless pipeline stages further downstream correspondingly improve. In particular, register renaming a large number of instructions per cycle is difficult. A large instruction window, needed to receive multiple basic blocks per cycle, will slow down dependence resolution and instruction issue. This paper addresses these and related issues by proposing (i) partitioning of the instruction window into multiple blocks, each holding a dynamic code sequence; (ii) logical partitioning of the register file into a global file and several local files, the latter holding registers local to a dynamic code sequence; (iii) the dynamic recording and reuse of register renaming information for registers local to a dynamic code sequence. Performance studies show these mechanisms improve performance over traditional superscalar processors by factors ranging from 1.5 to a little over 3 for the SPEC Integer programs. Next, it is observed that several of the loops in the benchmarks display vector-like behavior during execution, even if the static loop bodies are likely complex for compile-time vectorization. A dynamic loop vectorization mechanism that builds on top of the above mechanisms is briefly outlined. The mechanism vectorizes up to 60% of the dynamic instructions for some programs, albeit the average number of iterations per loop is quite small.
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