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http://dx.doi.org/10.9708/jksci.2012.17.1.001

Implementation of an Optimal SIMD-based Many-core Processor for Sound Synthesis of Guitar  

Choi, Ji-Won (School of Electrical Engineering, University of Ulsan)
Kang, Myeong-Su (School of Electrical Engineering, University of Ulsan)
Kim, Jong-Myon (School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.1, 2012 , pp. 1-10 More about this Journal
Abstract
Improving operating frequency of processors is no longer today's issues; a multiprocessor technique which integrates many processors has received increasing attention. Currently, high-performance processors that integrate 64 or 128 cores are developing for large data processing over 2, 4, or 8 processor cores. This paper proposes an optimal many-core processor for synthesizing guitar sounds. Unlike the previous research in which a processing element (PE) was assigned to support one of guitar strings, this paper evaluates the impacts of mapping different numbers of PEs to one guitar string in terms of performance and both area and energy efficiencies using architectural and workload simulations. Experimental results show that the maximum area energy efficiencies were achieved at PEs=24 and 96, respectively, for synthesizing guitar sounds with sampling rate of 44.1kHz and 16-bit quantization. The synthesized sounds were very similar to original guitar sounds in their spectra. In addition, the proposed many-core processor was 1,235 and 22 times better than TI TMS320C6416 in area and energy efficiencies, respectively.
Keywords
guitar; sound synthesis; many-core processor; area efficiency; energy efficiency;
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