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A Quantitative Comparison of Reconfigurable, Tiled, and Conventional Architectures on Bit-level Computation

机译:比特级计算中可重构,平铺和传统架构的定量比较

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General purpose computing architectures are being called on to work on a more diverse application mix every day. This has been fueled by the need for reduced time to market and economies of scale that are the hallmarks of software on general purpose microprocessors. As this application mix expands, application domains such as bit-level computation, which has primarily been the domain of ASICs and FPGAs, will need to be effectively handled by general purpose hardware. Examples of bit-level applications include Ethernet framing, forward error correction encoding/decoding, and efficient state machine implementation. In this work [2] we compare how differing computational structures such as ASICs, FPGAs, tiled architectures, and superscalar microprocessors are able to compete on bit-level communication applications. A quantitative comparison in terms of absolute performance and performance per area will be presented. These results show that although modest gains (2-3x) in absolute performance can be achieved when using FPGAs versus tuned microprocessor implementations, it is the significantly larger gains (2-3 orders of magnitude) that can be achieved in performance per area that will motivate work on supporting bit-level computation in a general purpose fashion in the future.
机译:通用计算架构正在调用每天更多样化的应用程序组合。这是由于需要减少时间和规模经济的时间来推动,这是一般目的微处理器的软件标志。由于此应用程序混合扩展,因此,主要是由通用硬件有效处理ASICS和FPGA域的比特级计算等应用域。比特级应用的示例包括以太网框架,前向纠错编码/解码和高效的状态机实现。在这项工作[2]中,我们可以比较不同的计算结构,如ASIC,FPGA,瓷砖架构和超卡微处理器都能够竞争比特级通信应用。将提出每个区域的绝对性能和性能方面的定量比较。这些结果表明,尽管在使用FPGA与调谐微处理器实现时,尽管绝对性能的适度增益(2-3x),但它是明显较大的增长(2-3级),可以在每个区域的性能中实现在未来以通用方式支持比特级计算的工作。

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