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检索条件"任意字段=Distributed Memory Computing Conference"
8902 条 记 录,以下是11-20 订阅
排序:
Distributing Context-Aware Shared memory Data Structures: A Case Study on Singly-Linked Lists  25
Distributing Context-Aware Shared Memory Data Structures: A ...
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26th International conference on distributed computing and Networking, ICDCN 2025
作者: Ravishankar, Raaghav Kulkarni, Sandeep Peri, Sathya Sharma, Gokarna Michigan State University East LansingMI United States Indian Institute of Technology Hyderabad Hyderabad India Kent State University KentWA United States
In this paper, we study the partitioning of a context-aware shared memory data structure so that it can be implemented as a distributed data structure running on multiple machines. By context-aware data structures, we...
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Optimal Dispersion in Triangular Grids: Achieving Efficiency Without Prior Knowledge  21st
Optimal Dispersion in Triangular Grids: Achieving Efficiency...
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21st International conference on distributed computing and Intelligent Technology
作者: Pandit, Himani Pandit, Supantha Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar Gujarat India
In the dispersion problem, a group of k <= n mobile robots, initially placed on the vertices of an anonymous graph G with n vertices, must redistribute themselves so that each vertex hosts no more than one robot. W... 详细信息
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Performance Optimization and Comparative Analysis of distributed Big Data Processing Framework
Performance Optimization and Comparative Analysis of Distrib...
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2024 International conference on Mechatronics and Intelligent Control, ICMIC 2024
作者: Xie, Xinyan Chongqing Three Gorges Vocational College 404155 China
The research and application of big data processing and analysis have been quite mature, but more and more fields have put forward demands for real-time analysis and rapid response of fast and massive distributed big ... 详细信息
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Research on Market Power Platform for Power Generation Based on Spark distributed Framework computing
Research on Market Power Platform for Power Generation Based...
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2025 Asia-Europe conference on Cybersecurity, Internet of Things and Soft computing, CITSC 2025
作者: Fan, Wenjie Jia, Mingzhen Liu, Zhitong State Grid Liaoning Marketing Service Center Shenyang110006 China
The Spark distributed algorithm is a distributed computing implementation based on the map reduce algorithm, which has the advantages of Hadoop MapReduce. However, unlike MapReduce, the intermediate output and results... 详细信息
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Out-of-memory GPU Sorting Using Asynchronous CUDA Streams  25th
Out-of-Memory GPU Sorting Using Asynchronous CUDA Streams
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25th International conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2024
作者: HoseinyFarahabady, MohammadReza Zomaya, Albert Y. School of Computer Science Center for Distributed and High Performance Computing The University of Sydney SydneyNSW Australia
Graphics Processing Units (GPUs) are widely used as powerful hardware accelerators for data-intensive tasks. However, their efficacy can be hindered by constraints in device memory and data transfer speeds via the PCI... 详细信息
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Inference method for power large-scale model operation based on distributed computing resource scheduling
Inference method for power large-scale model operation based...
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2024 International conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024
作者: Huang, Xiaoguang Qin, Yu Liu, Yaqing Cui, Yingbao Guo, Ting Gu, Qingtong State Grid Information and Communication Industry Group Co. Ltd Beijing102211 China
Electric power computing resources are distributed in the respective regions of provincial data centers and transmission and transformation equipment, and the scheduling efficiency of computing resources is limited by... 详细信息
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On Constructing a Byzantine Linearizable SWMR Atomic Register from SWSR Atomic Registers  25
On Constructing a Byzantine Linearizable SWMR Atomic Registe...
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26th International conference on distributed computing and Networking, ICDCN 2025
作者: Kshemkalyani, Ajay D. Piduguralla, Manaswini Peri, Sathya Misra, Anshuman University of Illinois Chicago ChicagoIL United States Indian Institute of Technology Hyderabad Hyderabad India Purdue University Fort Wayne Fort WayneIN United States
The SWMR atomic register is a fundamental building block in shared memory distributed systems and implementing it from SWSR atomic registers is an important problem. While this problem has been solved in crash-prone s... 详细信息
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distributed Population-Based Simultaneous Perturbation Stochastic Approximation for Fine-Tuning Large Language Models  21st
Distributed Population-Based Simultaneous Perturbation Stoch...
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21st Pacific Rim International conference on Artificial Intelligence, PRICAI 2024
作者: Tan, Yajing Huang, Yuwei Duan, Qiqi Yang, Yijun Shi, Yuhui Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China
Very recently, a memory-efficient version (called MeZO) of simultaneous perturbation stochastic approximation (SPSA), one well-established zeroth-order optimizer from the automatic control community, has shown competi... 详细信息
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Task prioritization offloading scheme for vehicular edge computing networks: a game-theoretic DRL approach  4
Task prioritization offloading scheme for vehicular edge com...
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4th International conference on Computer Vision, Application, and Algorithm, CVAA 2024
作者: Sun, Jiaojiao Jiang, Li Cao, Yuwei Wang, Shubin Inner Mongolia University Huhehaote China
With the development of Vehicular Edge computing (VEC) computing architectures, in the study of task offloading problem, based on the differences in task delay sensitivity and the dynamic characteristics of environmen... 详细信息
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Scheduling Big Machine Learning Tasks on Clusters of Heterogeneous Edge Devices  17
Scheduling Big Machine Learning Tasks on Clusters of Heterog...
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17th International conference on COMmunication Systems and NETworkS, COMSNETS 2025
作者: Mathkar, Saumya Aiyer, Shreya Bapat, Yashovardhan Pinki, Pinki Paul, Arnab K. Naik, Vinayak BITS Pilani Department of CSIS Goa India
Edge computing has transformed machine learning by using computing closer to the data sources, thereby reducing latency. The ever-increasing volume of data has necessitated forming clusters of edge devices, possibly w... 详细信息
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