2006•Unpublished venueRequires access

Power-Performance Optimal DSP Architectures and ASIC Implementation

Farhana Sheikh, Melinda Ler, Radu Zlatanovici, Dejan M. Markovic, Borivoje Nikolić

Open publisher page 5 citations

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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What this paper is about

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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Available 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.

Key concepts: Application-specific integrated circuit, Finite impulse response, Digital signal processing, Computer science, Electronic engineering, Flexibility (engineering), Digital filter, Embedded system

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