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首页> 外文期刊>ACM Transactions on Architecture and Code Optimization >Reducing Complexity of Multiobjective Design Space Exploration in VLIW-Based Embedded Systems
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Reducing Complexity of Multiobjective Design Space Exploration in VLIW-Based Embedded Systems

机译：降低基于VLIW的嵌入式系统中多目标设计空间探索的复杂性

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摘要

Architectures based on very-long instruction word (VLIW) have found fertile ground in multimedia electronic appliances thanks to their ability to exploit high degrees of instruction level parallelism (ILP) with a reasonable trade-off in complexity and silicon cost. Specialization of such architectures involves the configuration of both hardware-related aspects (e.g., register files, functional units, memory subsystem) and software-related issues (e.g., the compilation strategy). The complex interactions between the components of such systems will force a human designer to rely on judgment and experience in designing them, possibly eliminating interesting configurations, and making tuning of the system, for either power, energy, or performance, difficult. In this paper we propose tools and methodologies to efficiently cope with this complexity from a multiobjective perspective. We first analyze the impact of ILP-oriented code transformations using two alternative compilation profiles to quantitatively show the effect of such transformations on typical design objectives like performance, power dissipation, and energy consumption. Next, by means of statistical analysis, we collect useful data to predict the effectiveness of a given compilation profiles for a specific application. Information gathered from such analysis can be exploited to drastically reduce the computational effort needed to perform the design space exploration.
机译：基于超长指令字（VLIW）的体系结构已经在多媒体电子设备中找到了肥沃的土地，这是因为它们能够利用高度的指令级并行性（ILP）并在复杂性和硅成本方面进行合理的权衡。这种架构的专业化涉及与硬件相关的方面（例如，寄存器文件，功能单元，存储器子系统）和与软件相关的问题（例如，编译策略）的配置。这种系统的组件之间复杂的交互作用将迫使人类设计人员在设计它们时要依靠判断和经验，可能会消除有趣的配置，并使系统在功率，能量或性能方面难以调整。在本文中，我们提出了用于从多目标角度有效应对这种复杂性的工具和方法。我们首先使用两个可供选择的编译配置文件分析面向ILP的代码转换的影响，以定量显示此类转换对典型设计目标（如性能，功耗和能耗）的影响。接下来，通过统计分析，我们收集有用的数据，以预测特定应用程序的给定编译配置文件的有效性。可以利用从这种分析中收集的信息来大大减少执行设计空间探索所需的计算量。

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