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检索条件"任意字段=19th International Conference on Parallel and Distributed Computing Systems, PDCS 2006"

共 205 条记录，以下是151-160 订阅

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A Simple parallel Algorithm for the Stepwise Approximate Computation of Voronoi Diagrams of Line Segments

A Simple Parallel Algorithm for the Stepwise Approximate Com...

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19th international conference on Architecture of computing systems, ARCS 2006

作者： Meigen, Christof Keller, Jorg FernUniversitat in Hagen FB Informatik - LG Parallelitat und VLSI Hagen58084 Germany

We present a PRAM algorithm to approximate the Voronoi diagram of line segments for a grid of points in the plane. the algorithm combines ideas from computer graphics and from hierarchical approximation algorithms. We analyze the complexity and report on experimental results of an implementation on a PRAM simulator. the algorithm can be extended to other types of objects and distance metrics. We sketch how to extend the algorithm for message-passing machines. © 2006 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Message passing

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Enabling Pervasive Federated Learning using Vehicular Virtual Edge Servers

Enabling Pervasive Federated Learning using Vehicular Virtua...

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19th IEEE international conference on Pervasive computing and Communications (IEEE PerCom)

作者： Du, Anran Shen, Yicheng Tseng, Lewis Higuchi, Takamasa Ucar, Seyhan Altintas, Onur Boston Coll Boston MA 02215 USA Toyota Motor North Amer R&D InfoTech Labs Mountain View CA USA

ISBN: (纸本)9781665404242

Recent works have proposed various distributed federated learning (FL) systems for the edge computing paradigm. these FL algorithms can assist pervasive applications in various aspects, e.g., decision making, pattern recognition, and behavior prediction. Existing solutions do not efficiently support the training based on the real-time location-specific data, because fundamentally, the "data collection" problem is rarely studied in the context of FL systems. To address this problem, we present a novel system, VC-SGD (Vehicular Clouds-Stochastic Gradient Descent), which seamlessly integrates the emerging concept of vehicular clouds with an edge-based FL. We show that by using vehicular clouds as virtual edge servers, VC-SGD is able to effectively support FL algorithms that use real-time location-specific data. We develop a general simulator that uses SUMO to simulate vehicle mobility and MXNet to perform real training. We use our simulator to verify the efficacy of VC-SGD. the experimental results demonstrate that VC-SGD improves over existing solutions.

关键词： Federated Learning Machine Learning Edge computing Vehicular Clouds Simulation

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Fog computing Based Traffic and Car Parking Intelligent System 19th

Fog Computing Based Traffic and Car Parking Intelligent Syst...

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19th international conference on Algorithms and Architectures for parallel Processing (ICA3PP)

作者： Alajali, Walaa Gao, Shang Alhusaynat, Abdulrahman D. Deakin Univ Melbourne Vic 3217 Australia Thi Qar Univ Nasiriyah 64001 Iraq

ISBN: (纸本)9783030389611;9783030389604

Internet of things (IoT) has attracted the attention of researchers from both industry and academia. Smart city, as one of the IoT applications, includes several sub-applications, such as intelligent transportation system (ITS), smart car parking and smart grid. Focusing on traffic flow management and car parking systems because of their correlation, this paper aims to provide a framework solution to both systems using online detection and prediction based on fog computing. Online event detection plays a vital role in traffic flow management, as circumstances, such as social events and congestion resulting from accidents and roadworks, affect traffic flow and parking availability. We developed an online prediction model using an incremental decision tree and distributed the prediction process on fog nodes at each intersection traffic light responsible for a connecting road. It effectively reduces the load on the communication network, as the data is processed, and the decision is made locally, with low storage requirements. the spatially correlated fog nodes can communicate if necessary to take action for an emergency. the experiments were conducted using the Melbourne city open data.

关键词： Traffic flow Prediction ITS Smart car parking

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A high-performance computational resource broker for Grid computing environments

A high-performance computational resource broker for Grid Co...

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19th international conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Shih, Po-Chi Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung County 43301 Taiwan

ISBN: (纸本)0769522491

Internet computing and grid technologies promise to change the way we tackle complex problems. they will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, ax well as the need for conveying these resources to the everyday user. this paper describes a resource broker with its main function as to match the available resources to the user's needs. the use of the resource broker provides a uniform interface to access any of the available and appropriate resources using user's credentials. the resource broker runs on top of the Globus Toolkit. therefore, it provides security and current information about the available resources and serves as a link to the diverse systems available in the Grid. © 2005 IEEE.

关键词： Computer systems

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Load Balancing of Irregular parallel Divide-and-Conquer Algorithms in Group-SPMD Programming Environments

Load Balancing of Irregular Parallel Divide-and-Conquer Algo...

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19th international conference on Architecture of computing systems, ARCS 2006

作者： Eriksson, Mattias Kessler, Christoph Chalabine, Mikhail PELAB Institute for Computer and Information Science Linköping university Sweden

We study strategies for local load balancing of irregular parallel divide-and-conquer algorithms such as Quicksort and Quickhull in SPMD-parallel environments such as MPI and Fork that allow to exploit nested parallelism by dynamic group splitting. We propose two new local strategies, repivoting and serialisation, and develop a hybrid local load balancing strategy, which is calibrated by parameters that are derived off-line from a dynamic programming optimisation. While the approach is generic, we have implemented and evaluated our method for two very different parallel platforms. We found that our local strategy is superior to global dynamic load balancing on a Linux cluster, while the latter performs better on a tightìy synchronised shared-memory platform with nonblocking, cheap task queue access. © 2008 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Dynamic programming

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Big Data Technologies on Commodity Workstations. A Basic Setup for Apache Impala 18

Big Data Technologies on Commodity Workstations. A Basic Set...

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19th Bulgarian international conference on Computer systems and Technologies (CompSysTech)

作者： Fotache, Marin Greavu-Serban, Valerica Hrubaru, Ionut Tica, Alexandru Alexandru Ioan Cuza Univ Carol I 22308 Iasi Romania

ISBN: (纸本)9781450364256

Big Data technologies brought the idea of parallel processing on cheaper commodity servers. When dealing with huge amount of data, instead of migrating to more performant and costly hardware platforms, or buying resources in cloud, it is more affordable to add a number of cheaper servers as nodes for data processing and/or storage. -NoSQL data stores. Hadoop ecosystems, NewSQL platforms have proved viable for Big Data storage and processing. In this paper we were concerned with setting up a platform for big data processing using commodity workstations. Many small and medium sized companies have limited resources and their workstations remain unused for more than 12 hours a day. Ilere Beowulf Cluster computing could prove useful. Apache Impala was installed as part of a Hadoop distribution on a 9 -node cluster. three TPC-H database schema were loaded for the scale factors of 1, 2 and 10GB. A series of 100 SQL queries were randomly generated and executed for each scale factor. Results were collected and analyzed for determining if the cluster can provide a decent level of data processing performance.

关键词： distributed computing Beowulf clustering Hadoop Impala Query performance

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Accelerating Communication-Intensive parallel Workloads Using Commodity Optical Switches and a Software-Configurable Control Stack

Accelerating Communication-Intensive Parallel Workloads Usin...

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19th international conference on Euro-Par

作者： Lugones, Diego Christodoulopoulos, Konstantinos Katrinis, Kostas Ruffini, Marco O'Mahony, Donal Collier, Martin Dublin City Univ Rince Inst Dublin 9 Ireland Trinity Coll Dublin Sch Comp Sci & Stat Dublin 2 Ireland IBM Res Dublin Ireland

ISBN: (纸本)9783642400476

In response to the need for faster and fatter networks for large-scale HPC cluster systems, hybrid optical/electrical networks have been proposed as an affordable and high-capacity solution. Still, there is no prior work evaluating the performance of HPC workloads over such types of networks. To fill this gap, this work presents a hybrid network architecture comprising commodity-only equipment, shows its price competitiveness against fat-tree alternatives and presents a prototype implementation. We evaluated several HPC workloads over our prototype, showing that our hybrid optical/electrical network manages to significantly accelerate tested workloads, without incurring any extra cost compared to an all-electronic fat-tree network.

关键词： high-performance computing high-speed networks interconnects distributed systems

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A framework for the classification of could computing business models 15

A framework for the classification of could computing busine...

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19th Panhellenic conference on Informatics, PCI 2015

作者： Lakka, Spyridoula Michalakelis, Christos Stamati, Teta Anagnostopoulos, Dimosthenis Harokopio University 70 El. Venizelou Kallithea Athens17671 Greece

ISBN: (纸本)9781450335515

Cloud computing is a modern style of innovation in network environment which takes the advantage of multi-technologies as distributed systems, wireless communication, parallel processing in term of providing service architecture. the main services are concerned about sharing communication and resources. Cloud computing offers scalable access, elastic and shared computing capabilities anytime and anywhere, and thereby requires minimum management and interaction with service providers. It promises efficiency gains and potential cost savings, which makes cloud solutions attractive to businesses and organizations. this, in turn, creates new directions, ideas and challenges in software markets and new cloud computing business models implementations. this paper aims at the creation of a holistic cloud computing business model framework that explicitly defines its structural elements and their relationships. Based on structured case methodology, currently existing and upcoming cloud services are integrated into the framework and categorized according to their service type. the business model framework constitutes a useful tool for managers and decision makers in implementing their strategies towards cloud markets. © 2015 ACM.

关键词： Cloud computing

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19th IFIP WG 10.3 international conference on Network and parallel computing, NPC 2022

19th IFIP WG 10.3 International Conference on Network and Pa...

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19th IFIP WG 10.3 international conference on Network and parallel computing, NPC 2022

ISBN: (纸本)9783031213946

the proceedings contain 31 papers. the special focus in this conference is on Network and parallel computing. the topics include: Adjust: An Online Resource Adjustment Framework for Microservice Programs;cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment;neuProMa: A Toolchain for Mapping Large-Scale Spiking Convolutional Neural Networks onto Neuromorphic Processor;Multi-clusters: An Efficient Design Paradigm of NN Accelerator Architecture Based on FPGA;TrainFlow: A Lightweight, Programmable ML Training Framework via Serverless Paradigm;DRP:Discrete Rank Pruning for Neural Network;transMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory;Hardware Acceleration for 1D-CNN Based Real-Time Edge computing;DLC: An Optimization Framework for Full-State Quantum Simulation;Optimizing Winograd Convolution on GPUs via Partial Kernel Fusion;Approximation Algorithms for Reliability-Aware Maximum VoI on AUV-Aided Data Collections;CCSBD: A Cost Control System Based on Blockchain and DRG Mechanism;Number of UAVs and Mission Completion Time Minimization in Multi-UAV-Enabled IoT Networks;a Spatial-Temporal Similarity-Based Cooperative Surveillance Framework by Edge;A Progressive Transmission Method of Cloud Point Data for HD Map in Autonomous Driving;IMRSim: A Disk Simulator for Interlaced Magnetic Recording Technology;Alleviating Performance Interference through Intra-Queue I/O Isolation for NVMe-over-Fabrics;WALOR: Workload-Driven Adaptive Layout Optimization of Raft Groups for Heterogeneous distributed Key-Value Stores;Efficient Data Placement for Zoned Namespaces (ZNS) SSDs;SchedP: I/O-aware Job Scheduling in Large-Scale Production HPC systems;adaptive Low-Cost Loop Expansion for Modulo Scheduling;SpacKV: A Pmem-Aware Key-Value Separation Store Based on LSM-Tree;Consistent and Efficient Batch Operations for NoSQL Databases with Hybrid Timestamp;SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM i

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DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information 19th

DETER: Streaming Graph Partitioning via Combined Degree and ...

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19th international conference on Algorithms and Architectures for parallel Processing (ICA3PP)

作者： Hu, Cong Zhong, Jiang Li, Qi Li, Qing Chongqing Univ Chongqing 400044 Peoples R China Chongqing Univ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400044 Peoples R China

ISBN: (纸本)9783030389918;9783030389901

Efficient graph partitioning plays an important role in distributed graph processing systems with the rapid growth of the scale of graph data. the quality of partitioning affects the performance of systems greatly. However, most existing vertex-cut graph partitioning algorithms only focused on degree information and ignored the cluster information of a coming edge when assigning edges. It is beneficial to assign an edge to a partition with more neighbors because keeping a dense subgraph in one partition would reduce the communication cost. In this paper, we propose DETER, an efficient vertex-cut streaming graph partitioning algorithm that takes both degree and cluster information into account when assigning an edge to one partition. Our evaluations suggest that DETER algorithm owns the ability to efficiently partition large graphs and reduce communication cost significantly compared to state-of-the-art graph partitioning algorithms.

关键词： Graph partitioning Vertex-cut Streaming distributed graph computing

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