Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion最新文献

Retention state-aware energy management for efficient nonvolatile processors: work-in-progress 高效非易失性处理器的保留状态感知能量管理:正在进行的工作

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3129535

Keni Qiu, Zhiyao Gong, Dongqin Zhou, Weiwen Chen, Yongpan Liu

引用次数: 1

Exploiting quality-energy tradeoffs with arbitrary quantization: special session paper 利用任意量化的质量-能量权衡:特别会议论文

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125544

T. Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, L. Ceze

引用次数: 6

A unified framework for throughput analysis of synchronous data flow graphs under memory constraints: work-in-progress 用于在内存约束下同步数据流图的吞吐量分析的统一框架:正在进行的工作

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125535

Xue-Yang Zhu

引用次数: 0

Significance-driven adaptive approximate computing for energy-efficient image processing applications: special session paper 节能图像处理应用的意义驱动自适应近似计算:特别会议论文

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125554

Dave Burke, Dainius Jenkus, Issa Qiqieh, R. Shafik, Shidhartha Das, Alexandre Yakovlev

引用次数: 2

Efficient arithmetic for lattice-based cryptography: special session paper 基于格的有效密码算法:专题会议论文

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125543

E. O'Sullivan, F. Regazzoni

引用次数: 1

Communication optimization for thermal reliable many-core systems: work-in-progress 热可靠多核系统的通信优化:正在进行的工作

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125539

Weichen Liu, Lei Yang, Weiwen Jiang, Nan Guan

{"title":"Communication optimization for thermal reliable many-core systems: work-in-progress","authors":"Weichen Liu, Lei Yang, Weiwen Jiang, Nan Guan","doi":"10.1145/3125502.3125539","DOIUrl":"https://doi.org/10.1145/3125502.3125539","url":null,"abstract":"System-level thermal management techniques normally map applications on non-adjacent cores to guarantee the safe temperature in many-core systems, while the communication efficiency will be oppositely affected by long-distance data transmission over conventional Network-on-Chips (NoC). SMART NoC has enabled single-cycle multi-hop bypass channels between distant cores, which can significantly reduce inter-processor communication latency. However, communication efficiency of SMART will be significantly diminished by express bypass break due to communication conflict. In order to achieve communication optimization with guaranteed system thermal reliability, we propose a dynamic reconfiguration method for logical interconnection topology through task mapping on top of SMART NoC. Active cores are physically decentralized on chip for better heat dissipation, while communication overhead can be reduced by minimized communication conflict and maximized bypass routing. Applicability and effectiveness of the proposed technique can be improved with significant achievements in reducing communication overhead and improving application performance, compared with state-of-the-art techniques.","PeriodicalId":350509,"journal":{"name":"Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126454914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progress 电动汽车电池优化的驾驶行为建模与估计:正在进行中

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125542

K. Vatanparvar, Sina Faezi, Igor Burago, M. Levorato, M. A. Faruque

{"title":"Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progress","authors":"K. Vatanparvar, Sina Faezi, Igor Burago, M. Levorato, M. A. Faruque","doi":"10.1145/3125502.3125542","DOIUrl":"https://doi.org/10.1145/3125502.3125542","url":null,"abstract":"Battery and energy management methodologies such as automotive climate controls have been proposed to address the design challenges of driving range and battery lifetime in Electric Vehicles (EV). However, driving behavior estimation is a major factor neglected in these methodologies. In this paper, we propose a novel context-aware methodology for estimating the driving behavior in terms of future vehicle speeds that will be integrated into the EV battery optimization. We implement a driving behavior model using a variation of Artificial Neural Networks (ANN) called Nonlinear AutoRegressive model with eXogenous inputs (NARX). We train our novel context-aware NARX model based on historical behavior of real drivers, their recent driving reactions, and the route average speed retrieved from Google Maps in order to enable driver-specific and self-adaptive driving behavior modeling and long-term estimation. Our methodology shows only 12% error for up to 30-second speed prediction which is improved by 27% compared to the state-of-the-art. Hence, it can achieve up to 82% of the maximum energy saving and battery lifetime improvement possible by the ideal methodology where the future vehicle speed is known.","PeriodicalId":350509,"journal":{"name":"Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Towards the application of flask security architecture to SoC design: work-in-progress flask安全架构在SoC设计中的应用:正在进行中

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125558

Festus Hategekimana, C. Bobda

引用次数: 0

Remote detection of unauthorized activity via spectral analysis: work-in-progress 通过频谱分析远程检测未经授权的活动:工作正在进行中

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125552

F. Karabacak, Ümit Y. Ogras, S. Ozev

引用次数: 2

3D nanosystems enable embedded abundant-data computing: special session paper 三维纳米系统使嵌入式丰富数据计算:特别会议论文

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI: 10.1145/3125502.3125531

William Hwang, M. Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, C. Kozyrakis, H. Wong, S. Mitra

{"title":"3D nanosystems enable embedded abundant-data computing: special session paper","authors":"William Hwang, M. Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, C. Kozyrakis, H. Wong, S. Mitra","doi":"10.1145/3125502.3125531","DOIUrl":"https://doi.org/10.1145/3125502.3125531","url":null,"abstract":"The world's appetite for abundant-data computing, where a massive amount of structured and unstructured data is analyzed, has increased dramatically. The computational demands of these applications, such as deep learning, far exceed the capabilities of today's systems, especially for energy-constrained embedded systems (e.g., mobile systems with limited battery capacity). These demands are unlikely to be met by isolated improvements in transistor or memory technologies, or integrated circuit (IC) architectures alone. Transformative nanosystems, which leverage the unique properties of emerging nanotechnologies to create new IC architectures, are required to deliver unprecedented functionality, performance, and energy efficiency. We show that the projected energy efficiency benefits of domain-specific 3D nanosystems is in the range of 1,000x (quantified using the product of system-level energy consumption and execution time) over today's domain-specific 2D systems with off-chip DRAM. Such a drastic improvement is key to enabling new capabilities such as deep learning in embedded systems.","PeriodicalId":350509,"journal":{"name":"Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11