使用组合等价的可扩展处理器匹配指令

Newton Cheung, S. Parameswaran, J. Henkel, J. Chan
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引用次数: 19

摘要

由于设计空间大,为可扩展处理器设计自定义可扩展指令是一项计算复杂的任务。在应用程序(例如用高级语言编写)中自动匹配候选指令与预先设计的可扩展指令库的任务尤其具有挑战性。以前的方法主要集中在识别可扩展指令(例如通过分析)、综合可扩展指令、估计预期的性能增益等方面。在本文中,我们介绍了自动匹配可扩展指令的方法,因为在自动化具有可扩展指令功能的ASIP的整个设计流程中缺少这一关键步骤。由于使用模拟进行匹配实际上是不可行的(模拟时间),并且传统的模式匹配方法不会产生可靠的结果(与可以以许多不同方式表示的功能等效代码相关的模糊性),因此我们采用组合等效检查。作为ASIP设计流程的一部分,我们的MINCE工具包括一个翻译器、一个过滤算法和一个组合等效检查工具。我们报告了可扩展指令的匹配时间(使用mediabbench应用程序),与解决该问题的最知名方法(部分模拟)相比,平均快了7.3倍。在我们所有的实验中,MINCE匹配正确,匹配步骤的结果平均提高了2.47倍的应用速度。作为总结,我们的工作代表了自动化具有可扩展指令功能的ASIP的整个设计流程的关键一步。
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MINCE: matching instructions using combinational equivalence for extensible processor
Designing custom-extensible instructions for extensible processors is a computationally complex task because of the large design space. The task of automatically matching candidate instructions in an application (e.g. written in a high-level language) to a pre-designed library of extensible instructions is especially challenging. Previous approaches have focused on identifying extensible instructions (e.g. through profiling), synthesizing extensible instructions, estimating expected performance gains etc. In this paper we introduce our approach of automatically matching extensible instructions as this key step is missing in automating the entire design flow of an ASIP with extensible instruction capabilities. Since matching using simulation is practically infeasible (simulation time), and traditional pattern matching approaches would not yield reliable results (ambiguity related to a functionally equivalent code that can be represented in many different ways), we adopt combinational equivalence checking. Our MINCE tool as part of our ASIP design flow consists of a translator, a filtering algorithm and a combinational equivalence checking tool. We report matching times of extensible instructions that are 7.3x faster on average (using Mediabench applications) compared to the best known approaches to the problem (partial simulations). In all our experiments MINCE matched correctly and the outcome of the matching step yielded an average speedup of the application of 2.47x. As a summary, our work represents a key step towards automating the whole design flow of an ASIP with extensible instruction capabilities.
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