对于需要处理的数字范围大而且需要精确计算的科学计算来说,就要求采用双精度浮点数,例如:计算化学,分子建模,流体动力学。
对于常见的多媒体和图形处理计算、深度学习、人工智能等领域,32位的单精度浮点计算已经足够了。
对于要求精度更低的机器学习等一些应用来说,半精度16位浮点数就可以甚至8位浮点数就已经够用了。
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