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检索条件"任意字段=Conference on Photonic Devices and Algorithms for Computing III"
215 条 记 录,以下是11-20 订阅
排序:
TinderAI: Support System for Matching AI algorithms and Embedded devices  36th
TinderAI: Support System for Matching AI Algorithms and Embe...
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36th International Florida Artificial Intelligence Research Society conference, FLAIRS-36 2023
作者: Francobaldi, Matteo De Filippo, Allegra Borghesi, Andrea Pizurica, Nikola Jovancevi, Igor Llewellynn, Tim de Prado, Miguel DISI University of Bologna Italy BCA Faculty of Natural Sciences and Mathematics University of Montenegro United States
Artificial Intelligence (AI) is becoming increasingly important and pervasive in the modern world. The widespread adoption of AI algorithms is reflected in the extensive range of HW devices on which they can be deploy... 详细信息
来源: 评论
Invited Paper: Co-designing 2.5D Silicon photonic Accelerators for Distributed Transformer at the Edge  43
Invited Paper: Co-designing 2.5D Silicon Photonic Accelerato...
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43rd International conference on Computer Aided Design-ICCAD
作者: Dang, Dharanidhar Dash, Priyabrata Zheng, Luqi Li, Haitong Univ Texas San Antonio San Antonio TX 78249 USA Purdue Univ W Lafayette IN USA
The efficient execution of attention-based transformers and large language models on traditional CPUs and GPUs presents significant challenges related to performance and energy efficiency. While innovative solutions l... 详细信息
来源: 评论
MANTRA: an Edge-computing Framework based on Multi-Armed Bandit for Latency- and Energy-aware Job Offloading in Vehicular Networks  9
MANTRA: an Edge-Computing Framework based on Multi-Armed Ban...
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9th IEEE International conference on Network Softwarization (IEEE NetSoft) - Boosting Future Networks through Advanced Softwarization
作者: Busacca, Fabio Palazzo, Sergio Raftopoulos, Raoul Schembra, Giovanni Univ Catania CNIT Res Unit Catania Italy
The optimization of job offloading procedures in modern vehicular networks is a problem of utmost importance. In this regard, this paper proposes MANTRA, a distributed framework based on multi-player multi-armed bandi... 详细信息
来源: 评论
Phase change materials: the 'silicon' for analog photonic computing?  3
Phase change materials: the 'silicon' for analog photonic co...
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conference on AI and Optical Data Sciences iii
作者: Rios, Carlos Zhang, Yifei Du, Qingyang Popescu, Cosmin-Constantin Shalaginov, Mikhail Miller, Paul Roberts, Christopher Kang, Myungkoo Richardson, Kathleen Gu, Tian Vitale, Steven A. Hu, Juejun MIT Dept Mat Sci & Engn Cambridge MA 02139 USA MIT Lincoln Lab 244 Wood St Lexington MA 02173 USA Univ Cent Florida Coll Opt & Photon Orlando FL 32816 USA
Chalcogenide phase change materials (PCMs) are a class of alloys exhibiting gigantic optical property contrast upon structural transition from an amorphous to a crystalline state. The structural transition is also non... 详细信息
来源: 评论
SymED: Adaptive and Online Symbolic Representation of Data on the Edge  29th
SymED: Adaptive and Online Symbolic Representation of Data o...
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29th International conference on Parallel and Distributed computing (Euro-Par)
作者: Hofstaetter, Daniel Ilager, Shashikant Lujic, Ivan Brandic, Ivona Vienna Univ Technol Vienna Austria Ericsson Nikola Tesla Zagreb Croatia
The edge computing paradigm helps handle the Internet of Things (IoT) generated data in proximity to its source. Challenges occur in transferring, storing, and processing this rapidly growing amount of data on resourc... 详细信息
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STEROCEN: Simulation and Training Environment for Resource Orchestration in Cloud-Edge Networks  15
STEROCEN: Simulation and Training Environment for Resource O...
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15th International conference on Networks of the Future
作者: Ferens, Mieszko Hortelano, Diego de Miguel, Ignacio Duran Barroso, Ramon J. Kosta, Sokol Aalborg Univ Copenhagen Denmark Univ Rey Juan Carlos Madrid Spain Univ Valladolid Valladolid Spain
Large scale deployment of Internet-of-Things (IoT) devices is projected to grow in the coming years. These devices are expected to be low-cost while supporting applications with growing computational demands. To enabl... 详细信息
来源: 评论
Energy- and Cost-Aware Scheduling for Task- Dependency Applications in Mobile Edge computing  25
Energy- and Cost-Aware Scheduling for Task- Dependency Appli...
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25th IEEE International conference on Computer Supported Cooperative Work in Design, CSCWD 2022
作者: Zhu, QingHua Lu, AnBang Hou, Yan Guangdong University of Technology School of Computer Science and Technology Guangzhou China
Mobile edge computing (MEC) is a promising way to improve the application performance on mobile devices in recent years, especially in terms of energy saving. However, users have to pay additional service costs such a... 详细信息
来源: 评论
Multi-objective Reinforcement Learning Algorithm for computing Offloading of Task-Dependent Workflows in 5G enabled Smart Grids  13th
Multi-objective Reinforcement Learning Algorithm for Computi...
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13th International conference on Computer Engineering and Networks (CENet)
作者: Li, Yongjie Lu, Jizhao Hou, Huanpeng Wang, Wenge Li, Gongming State Grid Henan Elect Power Co Informat & Commun Branch Zhengzhou 450052 Henan Peoples R China
Computational offloading is considered a promising emerging paradigm for addressing the limited resources of edge devices in expanding power grids. However, with the advancement of intelligent technologies such as dig... 详细信息
来源: 评论
Offloading Augmented Reality Tasks with Smart Energy Source-Aware algorithms at the Edge  23
Offloading Augmented Reality Tasks with Smart Energy Source-...
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26th ACM International conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM)
作者: Spinelli, Francesco Bazco-Nogueras, Antonio Mancuso, Vincenzo IMDEA Networks Inst Madrid Spain Univ Carlos III Madrid Madrid Spain
The development of novel use cases in beyond-5G and 6G networks will rely, among other aspects, on the availability of computing resources at the edge, therefore enabling the realization of applications that are both ... 详细信息
来源: 评论
Federated Learning Meets Edge computing: A Hierarchical Aggregation Mechanism for Mobile devices  17th
Federated Learning Meets Edge Computing: A Hierarchical Aggr...
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17th International conference on Wireless algorithms, Systems, and Applications (WASA)
作者: Chen, Jiewei Li, Wenjing Yang, Guoming Qiu, Xuesong Guo, Shaoyong Beijing Univ Post & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China State Grid Informat & Commun Ind Co Ltd Beijing Peoples R China
Federated learning (FL) has been proposed and applied in edge computing scenarios. However, the complex edge environment of wireless networks, such as limited device computing resources and unstable signals, leads to ... 详细信息
来源: 评论