Analysis of Performance of Instruction Pipeline with Transactional Slice Mechanism in CMP

A. Rajper, Shahnawaz Talpur, Noor-U.-Zaman Laghari, N. J. Rajper
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Abstract

Instruction throughput is one of the most important metric for improving the performance of systems and instruction pipeline play a major role in increasing this factor. But still, satisfactory performance of instruction pipeline is not yet achieved, due to some limitations, particularly branch instructions. These branch instructions restrict the full utilization of instruction pipeline. Therefore, the challenge is to reduce those branch penalties which cause significant degradation in performance of instruction pipelining. One optimal solution of reducing branch penalties is Transactional Slice (TS) mechanism with no branch overhead. The main objective of this research is the accurate size estimation for each transactional slice (TS), which can easily be incorporated into instruction pipeline. In previous research, the size of TS blocks estimated by using only one benchmarks suites has been investigated. However in this research article, the experiments have been conducted with three benchmark workloads to accomplish the accurate size estimation based on results from these workloads. From the results, we can also analyze the frequency of branch occurrence in instruction pipeline. The given mathematical model, examines the timing and pipeline behavior for in-order pipeline.
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基于事务切片机制的CMP指令管道性能分析
指令吞吐量是提高系统性能的重要指标之一,而指令管道在提高这一指标方面起着重要作用。但是由于指令管道的一些限制,特别是分支指令的限制,目前还没有达到令人满意的性能。这些分支指令限制了指令管道的充分利用。因此,挑战在于减少那些导致指令流水线性能显著下降的分支惩罚。减少分支损失的一个最佳解决方案是没有分支开销的事务片(TS)机制。本研究的主要目的是准确估计每个事务片(TS)的大小,使其易于整合到指令管道中。在以前的研究中,只使用一个基准套件来估计TS块的大小。然而,在本文中,我们使用了三个基准工作负载进行实验,以根据这些工作负载的结果完成准确的大小估计。从结果中,我们还可以分析出指令管道中分支发生的频率。给出的数学模型考察了有序管道的时序和管道行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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