Power-Performance Optimal DSP Architectures and ASIC Implementation
Farhana Sheikh, Melinda Ler, Radu Zlatanovici, Dejan M. Markovic, Borivoje Nikolić
Abstract
Farhana Sheikh, Melinda Ler, Radu Zlatanovici, Dejan M. Markovic, Borivoje Nikolić
Abstract
A hierarchical, sensitivity-based ASIC design methodology is proposed and demonstrated in the implementation of power-performance optimal signal processing kernels for wireless applications. The design approach uses a systematic exploration of the power-performance design tradeoff space at the architecture, micro-architecture, and circuit levels. Energy-efficiency gains achieved via this methodology are exploited to accommodate flexibility to support multi-standard radio architectures. The methodology is exemplified in the selection of architecture and design of a flexible digital finite impulse response (FIR) filter. The flexible FIR filter consumes area and power that is only 2 to 4 times that of a dedicated ASIC FIR.
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A hierarchical, sensitivity-based ASIC design methodology is proposed and demonstrated in the implementation of power-performance optimal signal processing kernels for wireless applications. The design approach uses a systematic exploration of the power-performance design tradeoff space at the architecture, micro-architecture, and circuit levels. Energy-efficiency gains achieved via this methodology are exploited to accommodate flexibility to support multi-standard radio architectures. The methodology is exemplified in the selection of architecture and design of a flexible digital finite impulse response (FIR) filter. The flexible FIR filter consumes area and power that is only 2 to 4 times that of a dedicated ASIC FIR.
Key concepts: Application-specific integrated circuit, Finite impulse response, Digital signal processing, Computer science, Electronic engineering, Flexibility (engineering), Digital filter, Embedded system