Low Effort Design Space Exploration Methodology for Configurable Caches†
AbstractDesigners 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. View Full-Text
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Alsafrjalani, M.H.; Gordon-Ross, A. Low Effort Design Space Exploration Methodology for Configurable Caches. Computers 2018, 7, 21.
Alsafrjalani MH, Gordon-Ross A. Low Effort Design Space Exploration Methodology for Configurable Caches. Computers. 2018; 7(2):21.Chicago/Turabian Style
Alsafrjalani, Mohamad H.; Gordon-Ross, Ann. 2018. "Low Effort Design Space Exploration Methodology for Configurable Caches." Computers 7, no. 2: 21.
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