Accelerating assertion assessment using GPUs

J. G. Tong, M. Boule, Z. Zilic
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Abstract

In this paper, we show how two key techniques in the testing and verification areas - namely mutation testing and assertion based verification (ABV) - can be combined in a novel way to help improve the effectiveness of verifying design correctness. Through assertion based test generation, multiple mutated designs and their test sequences are concurrently simulated using a GPU, in order to determine an essential question in ABV: are the assertions effective at identifying design errors? Exploiting multiple parallelism factors, we show notable improvements in accelerating the simulations procedures that help to answer this fundamental question.
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使用gpu加速断言评估
在本文中,我们展示了测试和验证领域的两种关键技术——即突变测试和基于断言的验证(ABV)——如何以一种新的方式结合起来,以帮助提高验证设计正确性的有效性。通过基于断言的测试生成,使用GPU并发模拟多个突变设计及其测试序列,以确定ABV中的一个基本问题:断言是否有效识别设计错误?利用多个并行因素,我们在加速模拟过程方面显示了显著的改进,有助于回答这个基本问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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