Speeding up Statistical Tolerance Analysis to Real Time
نویسندگان
چکیده
Statistical tolerance analysis based on Monte Carlo simulation can be applied to obtain a cost-optimized specification that satisfies both the cost and quality requirements associated with manufacturing. However, this process requires time-consuming computations. We found an implementation uses graphics processing unit (GPU) for vector-chain-based statistical scales better increasing sample size than similar central (CPU). Furthermore, we identified significant potential reducing runtime by using array vectorization NumPy, proper selection of row- column- major order, use single precision floating-point numbers GPU implementation. In conclusion, present open source synthesis approaches Python used improve existing workflows real time regular desktop computers.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11094207