Teraflop FPGA Design

M. Langhammer
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引用次数: 1

Abstract

User requirements for signal processing have increased in line with, or greater than, the increase in FPGA resources and capability. Many current signal processing algorithms require floating point, especially for military applications such as radar. Also, the increasing system complexity of these designs necessitate increased designer productivity, and floating point allows an easier implementation of the system model than the fixed point arithmetic that FPGA devices have been traditionally architected for. This article will review devices and methods for achieving consistent high performance system implementations in floating point. Single device designs at over 200 GFLOPs at the 40nm node, and approaching 1 Teraflop at 28nm will be described.
Teraflop FPGA设计
用户对信号处理的要求随着FPGA资源和能力的增加而增加,甚至大于FPGA资源和能力的增加。目前许多信号处理算法都需要浮点数,特别是在雷达等军事应用中。此外,这些设计的系统复杂性不断增加,需要提高设计人员的工作效率,并且与FPGA设备传统架构的定点算法相比,浮点算法允许更容易地实现系统模型。本文将回顾在浮点中实现一致的高性能系统实现的设备和方法。将描述在40nm节点上超过200 gflop的单器件设计,以及在28nm节点上接近1 Teraflop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。
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