基于fpga系统的数据处理

V. Sklyarov, I. Skliarova
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引用次数: 6

摘要

超过50%的FPGA市场是在通信和信息领域。数据处理是一个非常广泛的领域,对许多计算、网络、嵌入式系统、基于internet的应用程序等都很重要。该领域的许多问题都是计算密集型的,因此,它们需要基于新技术的并行化和加速。fpga可以被视为一个非常有吸引力的平台,允许将特定应用的软件和针对问题的硬件组合在单个可配置的微芯片上。本教程专门介绍面向硬件的数据处理算法,重点介绍并行性和流水线。针对fpga的设计流程是基于合理使用可配置逻辑块/逻辑元件和嵌入式组件(DSP片和块ram)。具体的例子,潜在的实际应用,实验和比较将被证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data processing in FPGA-based systems
More than 50% of FPGA market is in the scope of communication and information. Data processing is a very broad area that is important for numerous computations, networking, embedded systems, Internet-based applications, etc. Many problems in this area are computationally intensive and thus, they require parallelization and acceleration based on new technologies. FPGAs can be seen as a very attractive platform permitting application-specific software and problem-targeted hardware to be combined on a single configurable microchip. The tutorial is dedicated to hardware-oriented data processing algorithms with emphasis on parallelism and pipelining. FPGA-targeted design flow is based on the rational use of configurable logic blocks/logic elements and embedded components (DSP slices and block RAMs). Particular examples, potential practical applications, experiments and comparisons will be demonstrated.
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