Exponential functions are essential in many areas of science and engineering. Fast and efficient computing of such functions in multiple floating-point formats is a complex task for all classes of processing units—general purpose CPUs, digital signal processors, GPUs, intelligent processing units, and tensor processors (TPU)—developed recently for neural computing and deep machine learning.

中文翻译：

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指数函数的简单多精度算法 [提示和技巧]


指数函数在科学和工程的许多领域中至关重要。对于所有类别的处理单元（通用 CPU、数字信号处理器、GPU、智能处理单元和最近为神经计算开发的张量处理器 (TPU)）而言，以多种浮点格式快速高效地计算此类函数是一项复杂的任务和深度机器学习。