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Current trends indicate that leakage energy consumption will be an important concern in upcoming process technologies. We propose a compiler-based leakage energy optimization strategy for on-chip scratch-pad memories (SPMs). The idea is to divide SPM into banks and use compiler-guided data layout optimization and data migration to maximize SPM bank idleness, thereby increasing the chances of placing banks into low-power (low-leakage) state.

Banked scratch-pad memory management for reducing leakage energy consumption