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+ + + ++Reliable numerical computations are central to scientific computing, but the floating-point arithmetic that enables large-scale models is error-prone. Numeric exceptions are a common occurrence +and can propagate through code, leading to flawed results. This +paper presents FlowFPX, a toolkit for systematically debugging +floating-point exceptions by recording their flow, coalescing exception contexts, and fuzzing in select locations. These tools help +scientists discover when exceptions happen and track down their +origin, smoothing the way to a reliable codebase. ++
Combine stack frames into a tree highlighting common paths:
+ +Configure an injector, set up a recording file:
+ +