Proceedings. Design Automation Conference最新文献

Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. 松饼：通过整合现成模型实现多维度人工智能公平性的框架。

Proceedings. Design Automation Conference Pub Date : 2023-07-01 Epub Date: 2023-09-15 DOI: 10.1109/dac56929.2023.10247765

Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang

{"title":"Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models.","authors":"Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang","doi":"10.1109/dac56929.2023.10247765","DOIUrl":"https://doi.org/10.1109/dac56929.2023.10247765","url":null,"abstract":"Model fairness (a.k.a., bias) has become one of the most critical problems in a wide range of AI applications. An unfair model in autonomous driving may cause a traffic accident if corner cases (e.g., extreme weather) cannot be fairly regarded; or it will incur healthcare disparities if the AI model misdiagnoses a certain group of people (e.g., brown and black skin). In recent years, there are emerging research works on addressing unfairness, and they mainly focus on a single unfair attribute, like skin tone; however, real-world data commonly have multiple attributes, among which unfairness can exist in more than one attribute, called \"multi-dimensional fairness\". In this paper, we first reveal a strong correlation between the different unfair attributes, i.e., optimizing fairness on one attribute will lead to the collapse of others. Then, we propose a novel Multi-Dimension Fairness framework, namely Muffin, which includes an automatic tool to unite off-the-shelf models to improve the fairness on multiple attributes simultaneously. Case studies on dermatology datasets with two unfair attributes show that the existing approach can achieve 21.05% fairness improvement on the first attribute while it makes the second attribute unfair by 1.85%. On the other hand, the proposed Muffin can unite multiple models to achieve simultaneously 26.32% and 20.37% fairness improvement on both attributes; meanwhile, it obtains 5.58% accuracy gain.","PeriodicalId":87346,"journal":{"name":"Proceedings. Design Automation Conference","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10987014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140871692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022 DAC '22:第59届ACM/IEEE设计自动化会议，美国加利福尼亚州旧金山，2022年7月10日至14日

Proceedings. Design Automation Conference Pub Date : 2022-01-01 DOI: 10.1145/3489517

引用次数: 0

General Chair's Message 主席致辞

Proceedings. Design Automation Conference Pub Date : 2021-12-05 DOI: 10.1109/dac18074.2021.9586182

Harry Foster

引用次数: 0

Exploiting Computation Reuse for Stencil Accelerators. 开发模板加速器的计算重用。

Proceedings. Design Automation Conference Pub Date : 2020-07-01 Epub Date: 2020-10-09 DOI: 10.1109/dac18072.2020.9218680

Yuze Chi, Jason Cong

{"title":"Exploiting Computation Reuse for Stencil Accelerators.","authors":"Yuze Chi, Jason Cong","doi":"10.1109/dac18072.2020.9218680","DOIUrl":"https://doi.org/10.1109/dac18072.2020.9218680","url":null,"abstract":"Stencil kernel is an important type of kernel used extensively in many application domains. Over the years, researchers have been studying the optimizations on parallelization, communication reuse, and computation reuse for various target platforms. However, challenges still exist, especially on the computation reuse problem for accelerators, due to the lack of complete design-space exploration and effective design-space pruning. In this paper, we present solutions to the above challenges for a wide range of stencil kernels (i.e., stencil with reduction operations), where the computation reuse patterns are extremely flexible due to the commutative and associative properties. We formally define the complete design space, based on which we present a provably optimal dynamic programming algorithm and a heuristic beam search algorithm that provides near-optimal solutions under an architecture-aware model. Experimental results show that for synthesizing stencil kernels to FPGAs, compared with state-of-the-art stencil compiler without computation reuse capability, our proposed algorithm can reduce the look-up table (LUT) and digital signal processor (DSP) usage by 58.1% and 54.6% on average respectively, which leads to an average speedup of 2.3× for compute-intensive kernels, outperforming the latest CPU/GPU results.","PeriodicalId":87346,"journal":{"name":"Proceedings. Design Automation Conference","volume":"2020 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/dac18072.2020.9218680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25540972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Modelling multicore contention on the AURIXTM TC27x 在AURIXTM TC27x上建模多核争用

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465780

Enrique Díaz, E. Mezzetti, Leonidas Kosmidis, J. Abella, F. Cazorla

引用次数: 15

Protecting the supply chain for automotives and IoTs 保护汽车和物联网供应链

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465878

S. Ray, Wen Chen, Rosario Cammarota

引用次数: 5

RAIN: a tool for reliability assessment of interconnect networks - physics to software 用于互连网络可靠性评估的工具——从物理到软件

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465800

A. Abbasinasab, M. Marek-Sadowska

引用次数: 0

Efficient multi-layer obstacle-avoiding region-to-region rectilinear steiner tree construction 高效的多层避障区域到区域的直线斯坦纳树构造

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465783

Run-Yi Wang, C. Pai, Jun-Jie Wang, Hsiang-Ting Wen, Yu-Cheng Pai, Yao-Wen Chang, Chien-Mo James Li, J. H. Jiang

引用次数: 1

COSAT: congestion, obstacle, and slew aware tree construction for multiple power domain design COSAT:基于多功率域设计的拥塞、障碍和回转感知树构建

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465899

Chien-Pang Lu, I. Jiang

引用次数: 0

PlanarONoC: concurrent placement and routing considering crossing minimization for optical networks-on-chip PlanarONoC:考虑交叉最小化的片上光网络并发布局和路由

Proceedings. Design Automation Conference Pub Date : 2018-06-01 DOI: 10.1109/DAC.2018.8465775

Yu-Kai Chuang, Kuan-Jung Chen, Kun-Lin Lin, Shao-Yun Fang, Bing Li, Ulf Schlichtmann

引用次数: 0