Low Effort Design Space Exploration Methodology for Configurable Caches
Low Effort Design Space Exploration Methodology for Configurable Caches
复制标题
可配置缓存的省力设计空间探索方法
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Gordon
中科院分区：
文献类型：
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作者：
Mohamad Hammam Alsafrjalani;A. Gordon
设计人员可以使用删除能量冗余配置的设计空间子集方法来减少设计空间探索的时间和努力。然而，子集方法需要所有应用的先验知识。我们通过改变设计者在设计时可用的先验应用信息的量来分析先验应用知识对子集质量的影响，从无信息到应用领域的一般知识。结果表明，只有代表预期应用程序的通用域的一小部分应用程序减轻了设计工作，并足以在完整的未替代设计空间的5.6%范围内提供节能。此外，由于使用较少的应用程序集可能会减少设计空间探索时间，我们分析和量化了先验应用程序知识对执行时间加速比的影响，以选择所需的配置。结果表明，对预期应用的基本知识将子集设计空间探索时间减少了多达6.6倍。
Designers can reduce design space exploration time and efforts using the design space subsetting method that removes energy-redundant configurations. However, the subsetting method requires a priori knowledge of all applications. We analyze the impact of a priori application knowledge on the subset quality by varying the amount of a priori application information available to designers during design time from no information to a general knowledge of the application domain. The results showed that only a small set of applications representative of the anticipated applications’ general domains alleviated the design efforts and was sufficient to provide energy savings within 5.6% of the complete, unsubsetted design space. Furthermore, since using a small set of applications was likely to reduce the design space exploration time, we analyze and quantify the impact of a priori applications knowledge on the speedup in the execution time to select the desired configurations. The results revealed that a basic knowledge of the anticipated applications reduced the subset design space exploration time by up to 6.6X.