| Summary: | Questions whether numerical simulation is reproducible or not have been reported in
several sensitive applications. Numerical reproducibility failure mainly comes from the
finite precision of computer arithmetic. Results of floating-point computation depends on
the computer arithmetic precision and on the order of arithmetic operations. Massive
parallel HPC which merges, for instance, many-core CPU and GPU, clearly modifies these two
parameters even from run to run on a given computing platform. How to trust such computed
results? This paper presents how three classic approaches in computer arithmetic may
provide some first steps towards more numerical reproducibility.
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