吉他声音合成多核处理器设计空间探索分析结果

Myeongsu Kang, Jiwon Choi, Jong-Myon Kim
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引用次数: 0

摘要

在本文中,我们通过使用架构和工作负载模拟,定量评估采样-每处理元素(SPE)比率对系统性能和效率的影响,提出了用于基于物理的吉他声音合成的最佳多核处理器的设计空间探索。采样数据的数量直接映射到每个处理元素(或改变固定样本大小的处理元素的数量)。由于SPE比的变化对硬件和软件设计的影响很大,因此样品与处理器比的影响很难分析。实验结果表明,SPE在2756到11025之间(或pe在24到96之间)的范围内提供了最有效的操作,以44.1 kHz采样的6音符复调合成吉他声音,每单位面积或能量产生最高的任务吞吐量。此外,合成的声音非常类似于原来的吉他声音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical Results for Design Space Exploration of Many-Core Processors for Sound Synthesis of Guitar
In this paper, we present a design space exploration of optimal many-core processors for the physics-based sound synthesis of guitar by quantitatively evaluating the impact of a sample-per-processing element (SPE) ratio - the amount of sample data directly mapped to each processing element (or varying the number of processing elements for a fixed sample size) on system performance and efficiency using architectural and workload simulation. The effect of the sample to processor ratio is difficult to analyze because it significantly affects both hardware and software design as SPE ratio is varied. Experimental results indicate that a SPE in the range of 2,756 to 11,025 (or the number of PEs between 24 and 96) provides the most efficient operation for synthesizing guitar sounds with 6-note polyphony sampled at 44.1 kHz, yielding the highest task throughput per unit of area or energy. In addition, the synthesized sounds are very similar to the original guitar sounds.
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