We propose an integrated front-end/back-end flow for the automatic generation of a multi-bank memory architecture for embedded systems. The flow is based on an algorithm for the automatic partitioning of on-chip SRAM. Starting from the dynamic execution profile of an embedded application running on a given processor core, we synthesize a multi-banked SRAM architecture optimally fitted to the execution profile. The partitioning algorithm is integrated with the physical design phase into a complete flow that allows the back-annotation of layout information to drive the partitioning process. Results, collected on a set of embedded applications for the ARM processor, have shown average energy savings around 34%.
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