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检索条件"任意字段=14th International Conference on Parallel and Distributed Computing Systems"

共 8132 条记录，以下是11-20 订阅

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Proceedings of IPDRM 2022: 5th Annual Workshop on Emerging parallel and distributed Runtime systems and Middleware, Held in conjunction with SC 2022: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of IPDRM 2022: 5th Annual Workshop on Emerging P...

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5th IEEE/ACM Annual Workshop on Emerging parallel and distributed Runtime systems and Middleware, IPDRM 2022

the proceedings contain 3 papers. the topics discussed include: SABO: dynamic MPI+OpenMP resource balancer;LEC-PR: proactive recovery method in erasure-coded storage;and Petri nets for concurrent programming.

ISBN: (纸本)9781665475082

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27th international conference on parallel and distributed computing, Euro-Par 2021

27th International Conference on Parallel and Distributed Co...

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27th international conference on parallel and distributed computing, Euro-Par 2021

ISBN: (纸本)9783031061554

the proceedings contain 49 papers presendted at a virtual meeting. the special focus in this conference is on parallel and distributed computing. the topics include: Data Management Model to Program Irregular Compute Kernels on FPGA: Application to Heterogeneous distributed System;a distributed Game-theoretic Approach to IaaS Cloud Brokering;continuous Self-adaptation of Control Policies in Automatic Cloud Management;Porting Sparse Linear Algebra to Intel GPUs;low-Overhead Reuse Distance Profiling Tool for Multicore;model-Based Loop Perforation;collaborative, distributed, Scalable and Low-Cost Platform Based on Microservices, Containers, Mobile Devices and Cloud Services to Solve Compute-Intensive Tasks;Scalable Hybrid parallel ILU Preconditioner to Solve Sparse Linear systems;communication Overlapping Pipelined Conjugate Gradients for distributed Memory systems and Heterogeneous Architectures;application-Based Fault Tolerance for Numerical Linear Algebra at Large Scale;parallelization and Auto-scheduling of Data Access Queries in ML Workloads;A Low Overhead Tasking Model for OpenMP;memory Efficient Deep Neural Network Training;Interferences Between Communications and Computations in distributed HPC systems;enabling Support for Zero Copy Semantics in an Asynchronous Task-Based Programming Model;FleCSI 2.0: the Flexible Computational Science Infrastructure Project;An Experimental Study of SYCL Task Graph parallelism for Large-Scale Machine Learning Workloads;understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime systems;OpenMP Target Task: Tasking and Target Offloading on Heterogeneous systems;towards Generating Realistic Trace for Simulating Functions-as-a-Service;SMART: A Tool for Trust and Reputation Management in Social Media;SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning;consistency Analysis of distributed Ledgers in Fog-Enhanced Blockchains;parallelizing Automatic Model Management S

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Workshops held at the 26th international conference on parallel and distributed computing, Euro-Par 2020

Workshops held at the 26th International Conference on Paral...

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Workshops held at the 26th international conference on parallel and distributed computing, Euro-Par 2020

ISBN: (纸本)9783030715922

the proceedings contain 27 papers. the special focus in this conference is on parallel and distributed computing. the topics include: parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms;Management of Heterogeneous Cloud Resources with Use of the PPO;An Open-Source Virtualization Layer for CUDA Applications;high Performance Portable Solver for Tridiagonal Toeplitz systems of Linear Equations;highPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids;Implementation and Evaluation of CUDA-Unified Memory in Numba;Performance Evaluation of Java/PCJ Implementation of parallel Algorithms on the Cloud;parallelizing Automatic Temporal Cognitive Tool for Large-Scale Online Learning Analytics;Experiments Using a Software-distributed Shared Memory, MPI and 0MQ over Heterogeneous computing Resources;ants-Review: A Privacy-Oriented Protocol for Incentivized Open Peer Reviews on Ethereum;on the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models;Improving Existing WMS for Reduced Makespan of Workflows with Lambda;predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks;On the Detection of Silent Data Corruptions in HPC Applications Using Redundant Multi-threading;analysis of Genome Architecture Mapping Data with a Machine Learning and Polymer-Physics-Based Tool;A New parallel Methodology for the Network Analysis of COVID-19 Data;next Generation Blockchain-Based Financial Services;a Digital Voting System for the 21st Century;trustless, Censorship-Resilient and Scalable Votings in the Permission-Based Blockchain Model;p2T: Pay to Transport;Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs.

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27th international European conference on parallel and distributed computing, Euro-Par 2021

27th International European Conference on Parallel and Distr...

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27th international European conference on parallel and distributed computing, Euro-Par 2021

ISBN: (纸本)9783030856649

the proceedings contain 38 papers. the special focus in this conference is on parallel and distributed computing. the topics include: An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures;pipelined Model parallelism: Complexity Results and Memory Considerations;efficient and Systematic Partitioning of Large and Deep Neural Networks for parallelization;A GPU Architecture Aware Fine-Grain Pruning Technique for Deep Neural Networks;Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs;smart distributed DataSets for Stream Processing;colony: parallel Functions as a Service on the Cloud-Edge Continuum;horizontal Scaling in Cloud Using Contextual Bandits;geo-distribute Cloud Applications at the Edge;Automatic Low-Overhead Load-Imbalance Detection in MPI Applications;A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances;sustaining Performance While Reducing Energy Consumption: A Control theory Approach;algorithm Design for Tensor Units;a Scalable Approximation Algorithm for Weighted Longest Common Subsequence;TSLQueue: An Efficient Lock-Free Design for Priority Queues;G-Morph: Induced Subgraph Isomorphism Search of Labeled Graphs on a GPU;accelerating Graph Applications Using Phased Transactional Memory;Efficient GPU Computation Using Task Graph parallelism;towards High Performance Resilience Using Performance Portable Abstractions;Enhancing Load-Balancing of MPI Applications with Workshare;trace-Based Workload Generation and Execution;particle-In-Cell Simulation Using Asynchronous Tasking;Exploiting Co-execution with OneAPI: Heterogeneity from a Modern Perspective;designing a 3D parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore systems;Fault-Tolerant LU Factorization Is Low Cost;Mixed Precision Incomplete and Factorized Sparse Approximate Inverse Preconditioning on GPUs;GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis.

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IoTinuum: the IoT computing Continuum 20

IoTinuum: The IoT Computing Continuum

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20th Annual international conference on distributed computing in Smart Sensor systems and the Internet of things (DCOSS-IoT)

作者： Kamienski, Carlos Zyrianoff, Ivan Bittencourt, Luiz Fernando Di Felice, Marco Fed Univ ABC Santo Andre SP Brazil Univ Bologna Bologna Italy Univ Estadual Campinas Campinas SP Brazil

ISBN: (纸本)9798350369458;9798350369441

IoT smart applications must deal with the inherently distributed nature of IoT infrastructures that may vary among different deployments. For example, in urban environments, some deployments may require distributed edge nodes to support the sensors and actuators, while others may skip this processing stage and go directly to the cloud. We propose the concept of an IoT computing Continuum, or IoTinuum, with multiple computing stages spread over the distributed IoT infrastructure. We present the modeling and implementation of two urban use cases for a 6-stage IoTinuum: smart drone delivery and smart structural monitoring. In our experience, the IoTinuum improves the understanding of function placement in application development and reveals important performance tradeoffs.

关键词： edge computing fog computing IoT smart applications

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An O(1)-rounds Deterministic distributed Approximation Algorithm for the Traveling Salesman Problem in Congested Clique 20

An O(1)-rounds Deterministic Distributed Approximation Algor...

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20th Annual international conference on distributed computing in Smart Sensor systems and the Internet of things (DCOSS-IoT)

作者： Saikia, Parikshit Natl Inst Technol Silchar Assam India

ISBN: (纸本)9798350369458;9798350369441

We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributed computing. We present a deterministic distributed algorithm that computes a tour for the TSP using O(1) rounds and O(m) messages for a given undirected weighted complete graph of n nodes and m edges with an approximation factor 2 of the optimal. the TSP has wide applications in logistics, planning, manufacturing and testing microchips, DNA sequencing etc., and we claim that our proposed O(1)-rounds approximation algorithm to the TSP, which is fast and efficient, can also be used to minimize the energy consumption in Wireless Sensor Networks.

关键词： Traveling Salesman Problem distributed computing Approximation Congested Clique

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2025 14th international ITG conference on systems, Communications and Coding, SCC 2025

2025 14th International ITG Conference on Systems, Communica...

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14th international ITG conference on systems, Communications and Coding, SCC 2025

ISBN: (纸本)9798331522896

the proceedings contain 37 papers. the topics discussed include: enhanced practical integer-forcing source coding;exploiting transformers and attention mechanisms for modulation classification;symbol error probability constrained precoding with zero-crossing modulation for channels with 1-bit quantization and oversampling;iterative recovery algorithms for complex-valued distributed compressed sensing;relevance-based multi-user data compression for fronthaul rate reduction in cell-free massive MIMO systems;secret key rate of quantum key distribution assuming worst-case attacks;parallel decoding of trellis stages for low latency decoding of tail-biting convolutional codes;and on the design and performance of machine learning based error correcting decoders.

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SEAL-CC: Scalable Latency Evaluation Methodology for Internet-of-things Services 24

SEAL-CC: Scalable Latency Evaluation Methodology for Interne...

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14th international conference on the Internet of things, IoT 2024

作者： Horvath, Kurt Klaus Kimovski, Dragi Spiess, Bernd Hohlfeld, Oliver Prodan, Radu ITEC University of Klagenfurt Klagenfurt Austria Distributed Systems group University of Kassel Kassel Germany

ISBN: (纸本)9798400712852

Traditional network measurement campaigns suffer from the lack of control over network infrastructure and the inability to evaluate communication performance directly, especially for the placement of highly distributed Internet of things (IoT) services. In response, we propose a novel Scalable Latency Evaluation Methodology for the computing Continuum (SEAL-CC). SEAL-CC extends beyond short-term evaluations by capturing the long-term responsiveness of networks supporting IoT services on the computing continuum. It organizes and evaluates a network of nodes, offering insights for optimized IoT service placement in urban and international settings. Our contributions include a novel evaluation methodology tailored for IoT services over the computing continuum, a comprehensive framework for transparent network evaluation using distributed Internet measurement platforms, and a real-life case-study validation with recommendations for IoT service placement. © 2024 Copyright held by the owner/author(s).

关键词： Velocity measurement

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A Solution for conference Room Cluster Audio System Based on distributed Architecture 27

A Solution for Conference Room Cluster Audio System Based on...

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27th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Xu, Xiaoyi Zhang, Xin Wei, Zenglai Commun Univ China Sch Mus & Recording Arts Beijing Peoples R China Commun Univ China Sch Comp & Cyber Sci Beijing Peoples R China

ISBN: (纸本)9798350391961;9798350391954

With the rapid development of information technology, people have put forward higher requirements for the audio-visual experience and usage functions of conference spaces. the traditional, single-function conference room configuration can no longer adapt to the diverse needs of modern work and interactive activities. How to achieve efficient management and control, seamless interconnection, and resource sharing of audio systems across spaces, while ensuring the acoustic characteristics and flexibility of each independent space, has become a core issue that needs to be urgently resolved in building a multi-hall, multi-functional conference room cluster. Based on the audio system project of the Academic Center of the Communication University of China, this paper proposes a solution for a conference room cluster audio system based on a distributed architecture. this solution not only overcomes the limitations of traditional systems in terms of scalability, collaborative work, and resource scheduling but also promotes lossless transmission, real-time processing, and adaptive configuration of audio signals. thus, it ensures the consistency and high quality of the audio experience within the entire cluster, providing practical guidance for the design and optimization of future conference room audio systems.

关键词： AoIP distributed architecture conference space cluster audio system

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Hybrid Visual Verification 14

Hybrid Visual Verification

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14th international conference on Cloud computing, Data Science and Engineering, Confluence 2024

作者： Bushra, S.Nikkath Syed Ismail, A. Sasigresa, P. Edwin Singh, C. Srm Institute of Scienece and Technology Department of Computing Technologies Chengalpattu Kattankulathur India Srm Institute of Scienece and Technology Department of Data Science and Business Systems Chengalpattu Kattankulathur India Veltech University Department: Computer Science and Engineering India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department: Computer Science and Engineering India

ISBN: (纸本)9798350344837

Data security is becoming increasingly important as cloud computing advances. Data security is the fundamental problem of all distributed computing systems. Cloud computing enables access to distributed applications and services belonging to various organizations spread across different locations. Cloud computing raises security concerns, because it shares data with distributed users via network in an open terrain. In this system, some of the most important security services like image-based security are handled by the cloud computing system. the proposed scheme takes care of several attacks like botnets, malware and guessing attacks. this scheme is contrasted withseveral established schemesand a new form of authentication is used for the purpose of storing files in a secure manner. © 2024 IEEE.

关键词： Authentication

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