Juan Fernando Eusse Giraldo, Christopher Williams, R. Leupers
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引用次数: 21
Abstract
Application Specific Instruction Set Processor (ASIP) design methodologies have not been significantly altered during the past decade, and are still based on a highly manual and iterative process. Profiling has been established as a first step to prune the design space, and gain a deep understanding of the algorithms that underpin the application for which an ASIP is to be tailored. Independently of the profiling strategy, none of the existing ASIP-oriented profiling technologies enables on-the-loop application optimization or algorithmic exploration, which are mandatory steps throughout ASIP design. An innovative multi-grained approach that enables multiple levels of profiling detail according to the ASIP design stage (i.e. hot spot identification, application optimization, algorithmic exploration and architectural design) is presented. To validate our multi-grained profiling approach, the design of an ASIP for Marker-Based Augmented Reality was undertaken, achieving a 6x speedup in application execution in two days of design time.
专用指令集处理器(Application Specific Instruction Set Processor, ASIP)的设计方法在过去十年中没有显著改变,仍然基于高度手工和迭代的过程。概要分析已经被建立为修剪设计空间的第一步,并获得对支持应用程序的算法的深刻理解,而ASIP是为其量身定制的。独立于分析策略之外,现有的面向ASIP的分析技术都不支持循环应用程序优化或算法探索,而这是贯穿ASIP设计的必要步骤。提出了一种创新的多粒度方法,可以根据ASIP设计阶段(即热点识别、应用程序优化、算法探索和体系结构设计)实现多级分析细节。为了验证我们的多粒度分析方法,我们为基于标记的增强现实设计了一个ASIP,在两天的设计时间内实现了6倍的应用程序执行速度。