Reconfigurable Computing for Digital Signal Processing : A Survey ∗
Reconfigurable Computing for Digital Signal Processing : A Survey ∗
复制标题
数字信号处理的可重构计算：调查*
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Wayne Burleson
中科院分区：
文献类型：
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作者：
Russell Tessier;Wayne Burleson
在过去的十年里，VLSI技术和设计工具的稳步发展广泛地扩展了数字信号处理的应用领域。虽然专用集成电路(ASIC)和可编程数字信号处理器(PDSP)仍然是许多DSP应用的实现机制的选择，但越来越多的新的基于可重构计算的系统实现正在被考虑。这些灵活的平台提供了硬件的功能效率和软件的可编程性，随着可编程器件的逻辑能力遵循摩尔定律以及先进的自动化设计技术的出现，这些平台正在迅速成熟。随着最初的可重构技术的出现，新的学术和商业努力已经开始，以支持功率优化、成本降低和增强的运行时性能。本文综述了过去15年来数字信号处理器系统可重构计算的学术研究和商业发展情况。这项工作放在包括ASIC和PDSP在内的其他可用的DSP实现介质的背景下，以全面记录系统工程师可用的设计选择范围。结果表明，虽然现代可重构计算可以应用于视频、音频、语音和控制等各种DSP应用，但要充分发挥其潜力，还有很多工作要做。虽然PDSP、ASIC和可重构资源的单独实现各有不同的优势，但这些技术的集成组合可能会提供更完整的解决方案。
Steady advances in VLSI technology and design tools have extensively expanded the application domain of digital signal processing over the past decade. While application-specific integrated circuits (ASICs) and programmable digital signal processors (PDSPs) remain the implementation mechanisms of choice for many DSP applications, increasingly new system implementations based on rec figurable computingare being considered. These flexible platforms, which offer the functional efficiency of hardware and the programmability of software, are quickly maturing as the logic capacity of programmable devices follows Moore’s Law and advanced automated design techniques become available. As initial reconfigurable technologies have emerged, new academic and commercial efforts have been initiated to support power optimization, cost reduction, and enhanced run-time performance. This paper presents a survey of academic research and commercial development in reconfigurable computing for DSP systems over the past fifteen years. This work is placed in the context of other available DSP implementation media including ASICs and PDSPs to fully document the range of design choices available to system engineers. It is shown that while contemporary reconfigurable computing can be applied to a variety of DSP applications including video, audio, speech, and control, much work remains to realize its full potential. While individual implementations of PDSP, ASIC, and reconfigurable resources each offer distinct advantages, it is likely that integrated combinations of these technologies will provide more complete solutions.