Exploiting parallelism within multidimensional multirate digital signal processing systems
نویسنده
چکیده
Exploiting Parallelism within Multidimensional Multirate Digital Signal Processing Systems. (May 2003) Dongming Peng, B.S. and M.S., Beijing University of Aeronautics and Astronautics Chair of Advisory Committee: Dr. Mi Lu The intense requirements for high processing rates of multidimensional Digital Signal Processing systems in practical applications justify the Application Specific Integrated Circuits designs and parallel processing implementations. In this dissertation, we propose novel theories, methodologies and architectures in designing high-performance VLSI implementations for general multidimensional multirate Digital Signal Processing systems by exploiting the parallelism within those applications. To systematically exploit the parallelism within the multidimensional multirate DSP algorithms, we develop novel transformations including (1) nonlinear I/O data space transforms, (2) intercalation transforms, and (3) multidimensional multirate unfolding transforms. These transformations are applied to the algorithms leading to systematic methodologies in high-performance architectural designs. With the novel design methodologies, we develop several architectures with parallel and distributed processing features for implementing multidimensional multirate applications. Experimental results have shown that those architectures are much more efficient in terms of execution time and/or hardware cost compared with existing hardware implementations.
منابع مشابه
A Generalization of Multidimensional Synchronous Dataflow to Arbitrary Sampling Lattices
Multidimensional Synchronous Dataflow (MDSDF) [15][7] is a model of computation that has been proposed for specifying multidimensional multirate signal processing systems such as image and video processing algorithms. The model is an extension of synchronous dataflow (SDF) [14] and has all of the desirable properties of the SDF model such as static schedulability, exposition of data and functio...
متن کاملMultidimensional synchronous dataflow
Signal flow graphs with dataflow semantics have been used in signal processing system simulation, algorithm development, and real-time system design. Dataflow semantics implicitly expose function parallelism by imposing only a partial ordering constraint on the execution of functions. One particular form of dataflow, synchronous dataflow (SDF) has been quite popular in programming environments ...
متن کاملAn extension of multidimensional synchronous dataflow to handle arbitrary sampling lattices
Multidimensional Synchronous Dataflow (MDSDF) [5][2] is a model of computation that has been proposed and implemented for specifying multidimensional multirate signal processing systems such as image and video processing algorithms. The model is an extension of synchronous dataflow (SDF) [4] and has all of the desirable properties of the SDF model such as static schedulability, exposure of data...
متن کاملMultidimensional Multirate Systems: Characterization, Design, and Applications
Multidimensional multirate systems have been used widely in signal processing, communications, and computer vision. Traditional multidimensional multirate systems are tensor products of one-dimensional systems. While these systems are easy to implement and design, they are inadequate to represent multidimensional signals since they cannot capture the geometric structure. Therefore, “true” multi...
متن کاملFixed-Point Optimization Utility for C and C Based Digital Signal Processing Programs
Fixed-point optimization utility software is developed that can aid scaling and wordlength determination of digital signal processing algorithms written in C or C++. This utility consists of two programs: the range estimator and the fixed-point simulator. The former estimates the ranges of floatingpoint variables for purposes of automatic scaling, and the latter translates floating-point progra...
متن کامل