Parallelization and analysis of speech recognition on mobile multi-core processor

Seung Mo Cho, D. Im, H. Song
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引用次数: 1

Abstract

Speech recognition is an important application which requires large amount of computation and data. We parallelized speech recognition on ARM11-mpcore, one of the mobile multi-core processors. We achieved 1.92 times speed-up using four cores. We argue that this is sufficiently close to the theoretical best regarding Amdahl's law. We also evaluated it on Intel Core2Quad to derive requirements for future mobile multi-core platforms.
移动多核处理器上语音识别的并行化与分析
语音识别是一个需要大量计算量和数据量的重要应用。我们在arm11 mpcore(一种移动多核处理器)上并行化了语音识别。我们使用四核实现了1.92倍的加速。我们认为这已经足够接近阿姆达尔定律的理论最佳值。我们还在英特尔Core2Quad上对其进行了评估,以得出未来移动多核平台的需求。
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