Language-Extension-Based Vectorizing Compiling Scheme on SDR-DSP

In this paper we propose a Language-Extension-based Vectorizing Compiling Scheme (LEVCS) for a newly developed DSP. The DSP is mainly designed for Software-Defined Radio (SDR) and is called SDR-DSP. The SDR-DSP architecture mixes the styles of VLIW (Very Long Instruction Word) and SIMD (Single Instruction Multiple Data). To explore the potential of SDR-DSP and achieve high performance, vectorization is one of the must equipped critical methods. Because auto-vectorization techniques cannot satisfy the requirements of the typical application, LEVCS is used to direct the vectorization. The C-extending programming language used in LEVCS is called SDR-DSP-C. LEVCS uses flexible data reorganization to make vectorization on SDR-DSP more efficient. We use LEVCS to vectorize five benchmark kernels: Fast Fourier Transform (FFT), Finite Impulse Responsefilter (FIR) and Infinite Impulse Response filter (IIR), Dot product implementation (Dotprod), Sum of vectors (vecsum). Experiment results show that LEVCS is functional correct and can achieve 2.883–8.074 speedups comparing to TI-DSPs.