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Floating-Point Emulation on Fixed-Point DSPs is Becoming Practical

机译:定点DSP上的浮点仿真已变得实用

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摘要

DSPs are divided into two broad categories: fixed-point and floating-point. In general, the cutting-edge fixed-point families tend to be fast, low power, and low cost, while floating-point processors offer high precision and wide dynamic range. Designers whose applications require only minimal amounts of floating-point functionality are caught in a "gray zone," often forced to move to higher-cost floating-point devices. Today, however, fixed-point processors are running at clock speeds that are high enough to emulate floating-point operations. This allows the designer to trade off floating-point computational efficiency for low cost and low power. This approach will not work for a truly float-intensive application, but it presents an appealing opportunity for designers "stuck in the gray zone."
机译:DSP分为两大类:定点和浮点。通常,尖端的定点产品系列倾向于快速,低功耗和低成本,而浮点处理器则提供了高精度和宽动态范围。其应用程序只需要最少数量的浮点功能的设计人员就会陷入“灰色地带”,而他们常常被迫转向成本更高的浮点设备。但是,如今,定点处理器以足以模拟浮点操作的时钟速度运行。这使设计人员可以权衡浮点计算效率以实现低成本和低功耗。这种方法不适用于真正的浮动密集型应用程序,但是它为“陷入灰色地带”的设计师提供了诱人的机会。

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