Data Reuse Exploration under an On-Chip Memory Constraint for Low Power FPGA-Based Systems

Provided by: Imperial College London
Topic: Hardware
Format: PDF
Contemporary FPGA-based reconfigurable systems have been widely used to implement data dominated applications. In these applications data transfer and storage consume a large proportion of the system energy. Exploiting data reuse can introduce significant power savings, but also introduces the extra requirement for on-chip memory. To aid data reuse design exploration early during the design cycle, the authors present an optimization approach to achieve a power-optimal design satisfying an on-chip memory constraint in a targeted FPGA-based platform.

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