Accelerating assertion assessment using GPUs

J. G. Tong, M. Boule, Z. Zilic
{"title":"Accelerating assertion assessment using GPUs","authors":"J. G. Tong, M. Boule, Z. Zilic","doi":"10.1109/HLDVT.2016.7748249","DOIUrl":null,"url":null,"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.","PeriodicalId":166427,"journal":{"name":"2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International High Level Design Validation and Test Workshop (HLDVT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HLDVT.2016.7748249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信