Publication

Optimization Methodologies for Complex FPGA-based Signal Processing Systems with CAL

Abstract

Signal processing designs are becoming increasingly complex with demands for more advanced algorithms. Designers are now seeking high-level tools and methodology to help manage complexity and increase productivity. Recently, CAL dataflow language has been specified which is capable of synthesizing dataflow description into RTL codes for hardware implementation, and based on several case studies, have shown promising results. However, no work has been done on global network analysis, which could increase the optimization space. In this paper, we introduce methodologies to analyze and optimize CAL programs by determining which actions should be parallelized, pipelined, or refactored for the highest throughput gain, and then providing tools and techniques to achieve this using minimum resource. As a case study on the RVC MPEG-4 SP Intra decoder for implementation on Virtex-5 FPGA, experimental results confirmed our analysis with throughput gain of up to 3.5x using relatively-minor additional slice compared to the reference design.

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Related concepts (33)
Hardware description language
In computer engineering, a hardware description language (HDL) is a specialized computer language used to describe the structure and behavior of electronic circuits, and most commonly, digital logic circuits. A hardware description language enables a precise, formal description of an electronic circuit that allows for the automated analysis and simulation of an electronic circuit.
Digital signal processor
A digital signal processor (DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. DSPs are fabricated on MOS integrated circuit chips. They are widely used in audio signal processing, telecommunications, , radar, sonar and speech recognition systems, and in common consumer electronic devices such as mobile phones, disk drives and high-definition television (HDTV) products. The goal of a DSP is usually to measure, filter or compress continuous real-world analog signals.
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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.
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