Big-data applications, particularly those leveraging GPUs and narrow floating-point formats, face a unique challenge: achieving robustness in calculations where precision is inherently limited. This raises a critical question: if these applications depend on robust error handling for floating-point operations, why do the languages used to build them often disregard or eschew traditional exception mechanisms for these specific scenarios?
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