可变精度浮点库中的高级组件

Xiaojun Wang, S. Braganza, M. Leeser
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引用次数: 59

摘要

最佳的可重构硬件实现可能需要使用不一定符合IEEE指定大小的任意浮点格式。作者先前提出了一个可变精度浮点库,用于可重构硬件。作者最近增加了三个高级组件:浮点除法、浮点平方根和浮点累加。这些高级组件使用非常适合FPGA实现的算法,并在面积、延迟和吞吐量之间表现出良好的权衡。我们库的浮点格式既通用又灵活。所有IEEE格式,包括64位双精度格式,都是我们格式的子集。所有以前发布的用于可重构硬件的浮点格式也是我们格式的子集。我们所有的库组件都支持通用的浮点格式,这使得为每个操作创建具有最佳位宽的流水线、自定义数据路径变得容易和方便。与坚持标准格式相比,我们的库可以实现更多的并行性和更少的功耗。为了进一步提高并行性和降低功耗,我们的库还在相同的设计中支持固定和浮点混合操作。除法和平方根的设计基于查找表和泰勒级数展开,并利用了嵌入在FPGA芯片上的存储器和乘法器。迭代累加器利用库的加法模块以及缓冲和控制逻辑来实现类似于加法本身的性能。它们都是完全流水线的设计,时钟速度可与其他库组件相媲美,以帮助设计人员实现快速、复杂、流水线的设计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Components in the Variable Precision Floating-Point Library
Optimal reconfigurable hardware implementations may require the use of arbitrary floating-point formats that do not necessarily conform to IEEE specified sizes. The authors have previously presented a variable precision floating-point library for use with reconfigurable hardware. The authors recently added three advanced components: floating-point division, floating-point square root and floating-point accumulation to our library. These advanced components use algorithms that are well suited to FPGA implementations and exhibit a good tradeoff between area, latency and throughput. The floating-point format of our library is both general and flexible. All IEEE formats, including 64-bit double-precision format, are a subset of our format. All previously published floating-point formats for reconfigurable hardware are a subset of our format as well. The generic floating-point format supported by all of our library components makes it easy and convenient to create a pipelined, custom data path with optimal bitwidth for each operation. Our library can be used to achieve more parallelism and less power dissipation than adhering to a standard format. To further increase parallelism and reduce power dissipation, our library also supports hybrid fixed and floating point operations in the same design. The division and square root designs are based on table lookup and Taylor series expansion, and make use of memories and multipliers embedded on the FPGA chip. The iterative accumulator utilizes the library addition module as well as buffering and control logic to achieve performance similar to that of the addition by itself. They are all fully pipelined designs with clock speed comparable to that of other library components to aid the designer in implementing fast, complex, pipelined designs
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