Abstract
This work proposes a technique for optimizing data placement of application-wide reused data so that it resides in scratchpad memory of processing elements in multiprocessor system on chips. The proposed technique identifies data elements with fine granularity that can profitably be placed in the scratchpad memories to maximize performance and energy gains. We present a heuristic approach that efficiently exploits the scratchpad memories using memory access footprint. Our experimental results indicate that our approach is able to reduce energy consumption by 30% over cache based memory subsystems.
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