各位同事：总干事欢迎来到第59届设计自动化大会！感谢您来到旧金山，这里是北美最古老的唐人街所在地，那里著名的雾有一个名字（卡尔），还有它自己的推特账号，也是牛仔裤的发明地。当然，旧金山也可以用技术创新、研发和颠覆等术语来描述。其中很多将于本周在莫斯康西会议中心展出。我们将举办#59DAC面对面，没有调解技术，使我们在过去几年分开！经过59年的发展，#59DAC仍然是从IC芯片到系统的设计和设计自动化领域的领先会议，并继续以新的能量和创新发展。在数百名志愿者的帮助下，DAC执行委员会已经组建了一个顶级的研究计划，高度重视的从业者论坛和一个具有广泛代表性的展览。我们有四个非常有趣和信息丰富的#59DAC主题演讲以及优秀的技术SkyTalk和Tech Talk演示。除了强大的技术计划，社交休息计划给你足够的时间放松，喝一杯，吃一些零食，结识新朋友，并合作。除了与核心EDA和IP主题领域相关的100多个会议外，#59DAC还包括以下领域的主题：40节设计课程（从异构SoC、架构、电路到新兴技术）15个嵌入式软件和系统会议（物联网，CPS，嵌入式内存和边缘计算）35次人工智能/机器学习课程（神经网络加速器的软件和系统设计，以及人工智能/机器学习技术在推进电子设计自动化中的应用）10个云会议（云设计、ML、编排、设备生命周期管理）和往常一样，你会发现很多行动和兴奋的展览地板上通过我们每天两次的展会休息时间，您将能够参观130多家参展商和我们广受欢迎的DAC展馆。请尝试查看这些其他很酷的区域和活动：设计基础设施巷云上设计馆开源中心海报角斗士战役我希望我能在#59 DAC期间与你们中的许多人交谈。我们的口号是“学习今天，创造明天”。我们相信在#59DAC有很多东西可以学习，我们期待着看到你明天创造的东西！伟大的作家马克·吐温曾经说过：“我在旧金山受到的待遇总是比我实际应得的要好。”我们希望在#59DAC同样对待你。享受#59DAC！罗布·奥沙纳DAC2022 |7月10日至14日|旧金山www.dac.com2022年第59届ACM/IEEE设计自动化会议（DAC）论文集由The Printing House为DAC制作允许制作部分或全部本作品的数字或硬拷贝供个人或课堂使用，无需付费，前提是复制品不以营利或商业利益为目的制作或分发，并且复制品在第一页上带有此通知和完整的引用本作品的版权归ACM以外的其他人所有，必须予以尊重。允许使用学分进行摘要复制，重新发布，张贴在服务器上，或重新分发到列表，需要事先的特定许可和/或费用。从permissions@acm.org或出版部门申请ACM，Inc.传真：+1（212）869-0481。未经The Printing House书面许可，禁止将本产品的说明和/或设计用于未来的数字产品。对于因使用或无法使用本产品上的材料而对您的硬件或其他软件造成的任何直接、间接、特殊、偶然或后果性损害，印刷厂或其供应商概不负责这包括但不限于数据丢失或利润损失Adobe、Adobe ®和Adobe ®徽标是Adobe SystemsIncorporated或其子公司的商标，可能在某些司法管辖区注册。如果您对安装有任何疑问，请联系：印刷厂电话：+1-608-873-4500时间：周一至周五，上午8点至下午5点CST电子邮件：graphics@printinghouseinc.com主菜单目录滚动到标题并选择蓝色链接以打开论文。查看论文后，使用左侧的书签返回到目录。10.1QuantumNAT：量子噪声感知训练，带噪声注入、量化和归一化......................................................................1王汉瑞，顾佳琪，丁永山，李紫瑞，弗雷德里克T.Chong，David Z.潘，宋汉10.2使用Recursion................................................................................................................ 7优化排列的量子电路综合作者：Cynthia Chen，Bruno Schmitt，Helena Zhang，Lev S. Ali Javadi-Abhari10.3一种用于噪声中等规模量子计算机...........................................................................................................................Sunghye Park，Daeyeon Kim，Minhyuk Kweon，Jae-Yoon Sim，Seokhyeong Kang10.4通过机器学习.......................................................................................................................................................... 19范鸿翔，郭策，陆伟11.1HERO：Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization量化性能...................................................................................................................................................................25杨焕瑞，杨晓萱，龚振强，陈怡然11.2用于鲁棒和全息人脸检测...................................................................................................................................... 31Mohsen Imani，Ali Zakeri，Hanning Chen，TaeHyun Kim，Prathyush Poduval，Hyunsei Lee，Yeseong Kim，Elaheh Sadredini，Farhad Imani11.3FHDnn：面向AIoT网络................................................................................................................................................Rishikanth rasekaran，Kazim Ergun，Jihyun Lee，Dhanush Nanjunda，Jaeykang Kang，Tajana Rosing11.4ODHD：One-Class Brain-Inspired Hyperdimensional Computing for Outlier Detection（单类脑..........................王瑞轩，焦勋，X.胡淑仪12.1使用GNNs进行高级综合性能预测：基准测试、建模和推进.................................................................................吴南、杨航、谢元、潘丽、丛浩12.2图神经网络.............................................................................................................................................................. 55Atefeh Sohrabizadeh，Yunsheng Bai，Yizhou Sun，Jason Cong12.3网络列表表示学习.................................................................................................................................................. 61Ziyi Wang，Chen Bai，Zhuolun He，Guangliang Zhang，Qiang Xu，Tsung-Yi Ho，Bei Yu，Yu Huang12.4EMS：空间加速器...................................................................................................................................................67贾连成，王俞跃，冷静文，梁云13.1DA PUF：双态模拟PUF............................................................................................................................................73张继良，丁林，陈卓君，李文尚，曲刚13.2路径：通过自动泄漏路径识别和混淆进行.......................................................................................................... 79Haocheng Ma，Qizhi Zhang，Ya Gao，Jiaji He，Yiqiang Zhao，Yier Jin13.3ROLL：使用新兴可重新配置的深度学习电源侧信道攻击缓解设备和逻辑锁定.......................................................................................................................................................85Gaurav Kolhe，Tyler Sheaves，Kevin Immanuel Gubbi，Soheil Salehi，Setareh Rafatirad，SaiManoj Pudukotai Dinakarrao，Avesta Sasan，Houman Homayoun13.4基于冲突图...............................................................................................................................................................91的多存储体NTT结构高效访问方案Xiangren Chen，Bohan Yang，Yong Lu，Shouyi Yin，Shaojun Wei，Leibo Liu14.1InfoX：采用信息无损低位ADC的...........................................................................................................................97Yintao He，Songyun Qu，Ying Wang，Bing Li，Huawei Li，Xiaowei Li14.2PHANES：用于深度神经网络...............................................................................................................................103Yinyi Liu，Jiaqi Liu，Yuxiang Fu，Shixi Chen，Jiaxu Zhang，Jiang Xu14.3CP-SRAM：用于超高能效内存计算的.................................................................................................................109张贺，姜林军，吴建新，陈庭然，刘俊展，王康，赵伟胜14.4CREAM：在ReRAM辅助的能量和面积高效SRAM中计算神经网络加速..........................................................115Liukai Xu，Songyuan Liu，Zhi Li，Dengfeng Wang，Yiming Chen，Yanan Sun，Xueqing Li，Weifeng He，Shi Xu15.1小芯片精算：定量成本模型和多小芯片架构探索............................................................................................ 121冯银晓，马15.2PANORAMA：CGRA...............................................................................................................................................127上映射复杂循环核的分治方法Dhananjaya Wijerathne，Zhaoying Li，Thilini Kaushalya Bandara，Tulika Mitra15.3通过迁移学习和多目标贝叶斯优化.....................................................................................................................Zheng Zhang，Tinghuan Chen，Jiaxin Huang，Meng Zhang15.4PriMax：通过选择性原语加速.............................................................................................................................139Nicholas Wendt，Todd Austin，Valeria Bertcott16.1在FPGA....................................................................................................................................................................145上加速和修剪用于语义分割的CNNPierpaolo Mori，Manoj-Rohit Vemparala，Nael Fasfous，Saptarshi Mitra，SreetamaSarkar，Alexander Frickenstein，Lukas Frickenstein，Domenik Helms，Naveen ShankarNagaraja，Walter Stechele，Claudio Passerone16.2SoftSNN：软错误...................................................................................................................................................151Rachmad Vidya Wicaksana Putra，Muhammad Abdullah Hanif，Muhammad Shafique16.3提高深度推荐带SSD的系统.......................................................................................................................................................... 157吴春凤，吴嘉玲，魏谷妍，大卫布鲁克斯16.4越大越公平？小型神经网络可以为边缘设备实现公平性................................................................................ 163Yi Sheng，Junhuan Yang，Yawen Wu，Kevin Mao，Yiyu Shi，Jingtong Hu，Weiwen Jiang，Lei Yang17.1SCAIE-V：一个开源的可扩展接口，用于RISC-V处理器....................................................................................Mihaela Damian，Julian Oppermann，Christoph Spang，Andreas Koch17.2一种可扩展的低功耗嵌入式系统........................................................................................................................Subhash Setumurugan，Shashank Hegde，Hari Cherupalli，John Sartori17.3使用迭代自动化安全分析.................................................................................................................................... 181Ran Wei，Zhe Jiang，Xiaoran Guo，Haitao Mei，Athanasios Zolvis，Tim Kelly18.1图神经网络............................................................................................................................................................ 187作者：Amrit Nagarajan阿南德？拉古纳坦18.2Sign Bit is Enough：一个多跳All-Reduce学习同步框架极限压缩.................................................................................................................................................................193Feijie Wu，Shiqi He，Song Guo，Zhihao Qu，Haozhao Wang，Weihua Zhuang，Jie Zhang18.3GLite：A Fast and Efficient Automatic Graph-Level Optimizer for Large-Scale DNN......................................... 199李佳琪，彭敏，李庆安，彭美正，袁梦婷18.4对比量化：量化使对比学习更............................................................................................................................ 205Yonggan Fu，Qixuan Yu，Meng Li，Xu Ouyang，Vikas Chandra，Yingyan Lin19.1Serpens：一个基于高带宽内存的通用稀疏矩阵向量乘法.........................................................................................................................................................211宋凌昊、池宇泽、郭立成、丛杰19.2使用事件驱动的多级CNN分类和具有自适应通道选择的.................................................................................217Jiahao Liu，Zirui Zhong，Yong Zhou，Hui Qiu，Jianbiao Xiao，Jiajing Fan，Zhaomin Zhang，Sixu Li，Yiming Xu，Siqi Yang，Weiwei Shan，Shuisheng Lin，Liang Chang，Jun Zhou19.3PatterNet：探索和利用过滤器模式实现高效的深度神经网络........................................................................Behnam Khaleghi，Uday Mallappa，Duygu Yaldiz，Haichao Yang，Monil Shah，Jaeydong Kang，Tajana Rosing19.4E2SR：一种端到端视频编解码器辅助的超分辨率加速.................................................................................... 229宋卓然、余仲恺、景乃丰、梁逍遥20.1MATCHA：一个快速节能的Torus........................................................................................................................ 235全同态加密加速器Lei Jiang，Qian Lou，Nrushad Joshi20.2VirTEE：一个完全向后兼容的TEE，支持本地实时迁移和安全I/O.................................................................. 241Jianqiang Wang，Pouya Mahmoody，Ferdinand Brasser，Patrick Jauernig，Ahmad-RezaSadeghi，Donghui Yu，Dahan Pan，Yuanyuan Zhang20.3苹果vs. EMA：电磁侧通道攻击苹果CoreCrypto................................................................................................ 247Gregor Haas，Aydin Aysu21.1多任务DNN.............................................................................................................................................................253节能加速算法/架构协同设计Jaekang Shin，Seungkyu Choi，Jongwoo Ra，Lee-Sup Kim21.2EBSP：为量化深度神经网络的硬件友好推理发展比特稀疏模式....................................................................259Fangxin Liu，Wenbo Zhao，Zongwu Wang，Yongbiao Chen，Zhenzhi He，Naifeng Jing，Xiaoyao Liang，LiJiang21.3能量有效的深度尖峰神经元的首峰时间编码和转换感知训练网络处理器设计.....................................................................................................................................................Dongwoo Lew，Kyungchul Lee，Jongsun Park21.4XMA：一种基于Shift-based Mask Learning方法.......................................................................................................Fan Zhang，Li Yang，Jian Meng，Jae-sun Seo，Yu Cao，Deliang Fan21.5SWIM：选择性写验证计算内存神经加速器...................................................................................................... 277Zheyu Yan，Xiaobo Sharon Hu，Yiyu Shi22.1为自动驾驶.............................................................................................................................................................283曾晓明，王振东，杨虎22.2Zhuyi：自动驾驶汽车........................................................................................................................................... 289放大图片作者：萧玉顺，Siva Kumar Sastry Hari，Michael B.放大图片创作者：John W.施韦克勒22.3超低功耗视觉3D感知的........................................................................................................................................295何玉泉，曲松云，林刚良，刘成，张磊，王颖22.4ROS2............................................................................................................301中动态优先级调度的响应时间分析放大图片作者：Abdullah Al Arafat，Sudharsan Vaidhun，Kurt M.Wilson，Jinghao Sun，Zhishan Guo22.5反映内部温度........................................................................................................................................................ 307Jiwon Kim，Seunghyeok Jeon，Jaehyun Kim，Hojung Cha23.1一种用于质谱聚类................................................................................................................................................ 313Xu Xu，Jaeykang，Tajana Rosing23.2MetaZip：DEFLATE............................................................................................................ 319的高通量高效加速器高瑞浩，李雪琪，李业文，王勋，谭光明23.3实现快速不确定性估计：通过计算机和硬件优化.................................................................................................................................................................325范鸿翔，Martin Ferianc，Wayne Luk23.4Eventor：基于FPGA 331的..........................................................................................................................................Mingjun Li，Jianlei Yang，Yingjie Qi，Meng Dong，Yuhao Yang，Runze Liu，Weitao Pan，Bei Yu，WeishengZhao23.5GEML：CGRA..................................................................................337上基于GNN的大循环应用的高效映射方法Mingyang Kou，Jun Zeng，Boxiao Han，Fei Xu，Jiangyuan Gu，Hailong Yao23.6混合粒度并行粗粒度可重构架构........................................................................................................................ 343Jinyi Deng，Linyun Zhang，Lei Wang，Jiawei Liu，Kexiang Deng，Shibin Tang，Jiangyuan Gu，Boxiao Han，Fei Xu，Leibo Liu，Shaojun Wei，Shouyi Yin24.1GuardNN：用于保护隐私的深度学习.................................................................................................................349华伟哲，穆罕默德·奥马尔，张志儒，G.徐德昌24.2SRA：基于ReRAM的安全DNN加速器................................................................................................................. 355赵磊，张有涛，杨军24.3ABNN2：安全的两方冗余位宽量化神经网络预测............................................................................................ 361Liyan Shen，Ye Dong，Binxing Fang，Jinqiao Shi，Shi Xiang，Shi Shi，Shi Ruisheng，Shi Shi24.4自适应神经恢复用于高度鲁棒的类脑表示........................................................................................................ 367Prathyush Poduval，Yang Ni，Yeseong Kim，Kai Ni，Raghavan Kumar，Rossario Cammarota，Mohsen Imani24.5对尖峰神经网络.................................................................................................................................................... 373Sarada Krithivasan，Sanchari Sen，Nitin Rathi，Kaushik Roy，Anand Raghunathan25.1L-QoCo：学习优化存储系统................................................................................................................................ 379Ji Zhang，Xijun Li，Xiyao Zhou，Mingxuan Yuan，Zhuo Cheng，Keji Huang，Yifan Li25.2移液器：适用于SSD的..........................................................................................................................................385Shuhan Bai，Hu Wan，Yun Huang，Xuan Sun，Fei Wu，Changsheng Xie，Hung-Chih Hsieh，Tei-Wei Kuo，Chun Jason Xue25.3CDB：采用基于高密度闪存的混合存储的............................................
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