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A Domain-specific Language to Facilitate Software Defined Radio Parallel Executable Patterns Deployment on Heterogeneous Architectures

Lerato J. Mohapi, Simon Winberg, Michael Inggs
Department of Electrical Engineering, Radar Remote Sensing Group, University of Cape Town, Cape Town, South Africa
33rd IEEE International Performance, Computing, and Communications Conference (IPCCC 2014), 2014

@article{mohapi2014domain,

   title={A Domain-specific Language to Facilitate Software Defined Radio Parallel Executable Patterns Deployment on Heterogeneous Architectures},

   author={Mohapi, Lerato J and Winberg, Simon and Inggs, Michael},

   year={2014}

}

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In this paper, we present a domain-specific language, referred to as OptiSDR, that matches high level digital signal processing (DSP) routines for software defined radio (SDR) to their generic parallel executable patterns targeted to heterogeneous computing architectures (HCAs). These HCAs includes a combination of hybrid GPU-CPU and DSP-FPGA architectures that are programmed using different programming paradigms such as C/C++, CUDA, OpenCL, and/or VHDL. OptiSDR presents an intuitive single high-level source code and near specification-level approach for optimization and facilitation of HCAs. OptiSDR uses an optimized embedded domain-specific language (DSL) compiler framework called Delite. Our focus is on the programming language expressiveness for parallel programming and optimization of typical DSP algorithms for deployment on SDR HCAs. We demonstrate the capability of OptiSDR to express the solution to the issues of parallel DSP low-level implementation complexities in the closest way to the original parallel programming of SDR systems. This paper will achieve these by focusing on three generic parallel executable patterns suitable for DSP routines such as cross-correlation, convolution in FIR filter based Hilbert transformers, and fast Fourier transforms for spectral analysis. This paper concludes with a performance analysis using DSP algorithms that tests automatically generated code against hand-crafted solutions.
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