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A Quantitative Evaluation of Vector Transcendental Functions on armv8-based processors

Journal of Computer Science & Technology 2023年第3期38卷 686-701页

作者：沈洁龙标黄春 College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

Transcendental functions are important functions in various high performance computing *** these functions are time-consuming and the vector units on modern processors become wider and more scalable,there is an increasing demand for developing and using vector transcendental functions in such performance-hungry ***,the performance of vector transcendental functions as well as their accuracy remain largely *** address this issue,we perform a comprehensive evaluation of two Single Instruction Multiple Data(SIMD)intrinsics based vector math libraries on two armv8 compatible *** first design dedicated microbenchmarks that help us understand the performance behavior of vector transcendental ***,we propose a piecewise,quantitative evaluation method with a set of meaningful metrics to quantify their performance and *** analyzing the experimental results,we find that vector transcendental functions achieve good performance speedups thanks to the vectorization and algorithm ***,vector math libraries can replace scalar math libraries in many cases because of improved performance and satisfactory *** this,the implementations of vector math libraries are still immature,which means further optimization is needed,and our evaluation reveals feasible optimization solutions for future vector math libraries.

关键词： transcendental function vector math library piecewise quantitative evaluation microbenchmarking armv8-based processor

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