左轮手枪:用于高效循环执行的处理器架构

Mitchell Hayenga, Vignyan Reddy Kothinti Naresh, Mikko H. Lipasti
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引用次数: 18

摘要

随着移动和云计算的兴起,现代处理器设计已经成为在特定性能目标下实现最大功率效率的任务。这种趋势,再加上单线程性能的改进逐渐减少,导致架构师主要关注能源效率。在本文中,我们注意到,对于大多数基准测试,执行时间的很大一部分用于执行简单的循环。利用循环的频率,我们设计了一种乱序处理器架构,该架构在实现积极的性能水平的同时,最大限度地减少了循环执行期间消耗的能量。Revolver架构通过在处理器的乱序后端内启用循环的“就地执行”来实现循环执行期间的能源效率。本质上,每个循环指令的几个静态实例由处理器前端分派到乱序执行核心。为了完成所有必要的循环迭代,每个静态指令实例可能被执行多次。在循环执行期间,处理器前端,包括指令获取、分支预测、解码、分配和调度逻辑,可以完全进行时钟门控。此外,我们提出了一种预执行未来循环迭代加载指令的机制,从而实现超越当前在处理器核心内执行的循环迭代的并行性。在三个基准套件中使用Revolver,我们消除了所有前端指令调度的20%、55%和84%。总的来说,我们发现Revolver保持了性能,同时比循环缓冲区或微操作缓存技术单独获得5.3%-18.3%的能量延迟优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revolver: Processor architecture for power efficient loop execution
With the rise of mobile and cloud-based computing, modern processor design has become the task of achieving maximum power efficiency at specific performance targets. This trend, coupled with dwindling improvements in single-threaded performance, has led architects to predominately focus on energy efficiency. In this paper we note that for the majority of benchmarks, a substantial portion of execution time is spent executing simple loops. Capitalizing on the frequency of loops, we design an out-of-order processor architecture that achieves an aggressive level of performance while minimizing the energy consumed during the execution of loops. The Revolver architecture achieves energy efficiency during loop execution by enabling “in-place execution” of loops within the processor's out-of-order backend. Essentially, a few static instances of each loop instruction are dispatched to the out-of-order execution core by the processor frontend. The static instruction instances may each be executed multiple times in order to complete all necessary loop iterations. During loop execution the processor frontend, including instruction fetch, branch prediction, decode, allocation, and dispatch logic, can be completely clock gated. Additionally we propose a mechanism to preexecute future loop iteration load instructions, thereby realizing parallelism beyond the loop iterations currently executing within the processor core. Employing Revolver across three benchmark suites, we eliminate 20, 55, and 84% of all frontend instruction dispatches. Overall, we find Revolver maintains performance, while resulting in 5.3%-18.3% energy-delay benefit over loop buffers or micro-op cache techniques alone.
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