Big-data applications, particularly those leveraging GPUs and narrow floating-point formats for artificial-intelligence workloads, frequently operate without explicit handling of floating-point exceptions. This raises a critical question: if robust error handling is paramount, why do the languages and environments powering these systems seem to sidestep traditional exception mechanisms for floating-point operations?
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