Big-data applications, especially in AI and ML, often rely on floating-point arithmetic where precision is key. Yet, the languages and tools used for GPU computation commonly bypass IEEE-754 exceptions, opting for NaN or Infinity. This article delves into why this approach is taken and its implications.
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