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检索条件"任意字段=27th International Conference on Parallel and Distributed Computing, Euro-Par 2021"

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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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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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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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Proceedings - 2021 IEEE 27th international conference on parallel and distributed Systems, ICPADS 2021

Proceedings - 2021 IEEE 27th International Conference on Par...

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27th IEEE international conference on parallel and distributed Systems, ICPADS 2021

ISBN: (纸本)9781665408783

the proceedings contain 117 papers. the topics discussed include: a novel iBeacon deployment scheme for indoor pedestrian positioning;near-optimal resource allocation and virtual network function placement at network edges;predicting downside in stock market using knowledge and news data;two-layer traffic signal optimization: a EDGE-assisted pressure balance approach based on cooperative game;passenger payment willingness prediction by static and dynamic multi-dimensional ticket attributes fusion;towards network-accelerated ML-based distributed computer vision systems;ATO-EDGE: adaptive task offloading for deep learning in resource-constrained edge computing systems;anti-replay: a fast and lightweight voice replay attack detection system;an electromagnetic covert channel based on neural network architecture;choosing appropriate AI-enabled edge devices, not the costly ones;and BRNN-GAN: generative adversarial networks with bi-directional recurrent neural networks for multivariate time series imputation.

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Interferences Between Communications and Computations in distributed HPC Systems 27th

Interferences Between Communications and Computations in Dis...

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27th international european conference on parallel and distributed computing (euro-par)

作者： Swartvagher, Philippe Inria Bordeaux Sud Ouest F-33405 Talence France

ISBN: (纸本)9783031061561;9783031061554

Overlapping communications with computations in distributed applications should increase their performances and allow to reach better scalability. this implies, by construction, communications are executed in parallel of computations. In this work, we explore the impact of computations on communication performances and vice-versa, with a focus on the role of memory contention. One main observation is that highly memory-bound computations can have a severe impact on network bandwidth.

关键词： HPC MPI Memory contention

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Consistency Analysis of distributed Ledgers in Fog-Enhanced Blockchains 27th

Consistency Analysis of Distributed Ledgers in Fog-Enhanced ...

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27th international european conference on parallel and distributed computing (euro-par)

作者： Kertesz, Attila Baniata, Hamza Univ Szeged Dugonics Ter 13 H-6720 Szeged Hungary

ISBN: (纸本)9783031061561;9783031061554

Both revolutionary technologies of Fog computing (FC) and Blockchain (BC) serve as enablers for enhanced, people-centric trusted applications, and they do meet in the provision of higher standards and expectations. In this paper, we address the reliability of fog-enhanced BC systems by analyzing the forking phenomenon under different conditions, and provide a reliable distributed Ledger (DL) consistency assessment. We use the FoBSim tool that is specifically designed to mimic and emulate realistic FC-BC integration, in which we deploy the Proof-of-Work (PoW) consensus algorithm and analyze the forking probability under fluctuating conditions. Based on our results, we propose an inconsistency formula, which can quantitatively describe how consistent the DL in a BC system can be. Finally, we show how to deploy this formula in a decision making model for indicating optimal deployment features of a BC network in a Fog-enhanced system.

关键词： distributed Ledger Consistency Blockchain Fog computing

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A distributed Game-theoretic Approach to IaaS Cloud Brokering 27th

A Distributed Game-Theoretic Approach to IaaS Cloud Brokerin...

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27th international european conference on parallel and distributed computing (euro-par)

作者： Gasior, Jakub Seredynski, Franciszek Cardinal Stefan Wyszynski Univ Dept Math & Nat Sci Warsaw Poland

ISBN: (纸本)9783031061561;9783031061554

We consider the problem of profit optimization for cloud brokerage service in the IaaS environment. We replace this optimization problem with a game-theoretic approach where players tend to achieve a solution by reaching a Nash equilibrium. We propose a fully distributed algorithm based on applying the Spatial Prisoner's Dilemma (SPD) game and a phenomenon of collective behavior of players participating in the game composed of two classes of automata-based agents - Cellular Automata (CA) and Learning Automata (LA). We introduce dynamic strategies like local profit sharing, mutation, and competition, which stimulate the evolutionary process of developing collective behavior among players to maximize their profit margin. We present the results of an experimental study showing the emergence of collective behavior in such systems.

关键词： Collective behavior Multi-agent systems Spatial prisoner's dilemma game Cellular automata Infrastructure as a service

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Exploiting Co-execution with OneAPI: Heterogeneity from a Modern Perspective 27th

Exploiting Co-execution with OneAPI: Heterogeneity from a Mo...

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27th international european conference on parallel and distributed computing (euro-par)

作者： Nozal, Raul Bosque, Jose Luis Univ Cantabria Dept Comp Sci & Elect Santander Spain

ISBN: (纸本)9783030856656;9783030856649

Programming efficiently heterogeneous systems is a major challenge, due to the complexity of their architectures. Intel oneAPI, a new and powerful standards-based unified programming model, built on top of SYCL, addresses these issues. In this paper, oneAPI is provided with co-execution strategies to run the same kernel between different devices, enabling the exploitation of static and dynamic policies. On top of that, static and dynamic load-balancing algorithms are integrated and analyzed. this work evaluates the performance and energy efficiency for a well-known set of regular and irregular HPC benchmarks, using an integrated GPU and CPU. Experimental results show that co-execution is worthwhile when using dynamic algorithms, improving efficiency even more when using unified shared memory.

关键词： Heterogeneous computing parallel computing Co-execution Load balancing SYCL oneAPI DPC plus Scheduling HPC

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Scalable Hybrid parallel ILU Preconditioner to Solve Sparse Linear Systems 27th

Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse ...

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27th international european conference on parallel and distributed computing (euro-par)

作者： Ram, Raju Grunewald, Daniel Gauger, Nicolas R. Fraunhofer ITWM Competence Ctr High Performance Comp Kaiserslautern Germany Tech Univ Kaiserslautern Chair Sci Comp Kaiserslautern Germany

ISBN: (纸本)9783031061561;9783031061554

Incomplete LU (ILU) preconditioners are widely used to improve the convergence of general-purpose large sparse linear systems in computational simulations because of their robustness, accuracy, and usability as a black-box preconditioner. However, the ILU factorization and the subsequent triangular solve are sequential for sparse matrices in their original form. Multilevel nested dissection (MLND) ordering can resolve that issue and expose some parallelism. this work investigates the parallel efficiency of a hybrid parallel ILU preconditioner that combines a restricted additive Schwarz (RAS) method on the process level with a shared memory parallel MLND Crout ILU method on the core level. We employ the GASPI programming model to efficiently implement the data exchange on the process level. We show the scalability results of our approach for the convection-diffusion problem.

关键词： Sparse linear systems parallel ILU preconditioner Domain decomposition GASPI METIS Task-level parallelism

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Smart distributed DataSets for Stream Processing 27th

Smart Distributed DataSets for Stream Processing

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27th international european conference on parallel and distributed computing (euro-par)

作者： Lopes, Tiago Coimbra, Miguel Veiga, Luis INESC ID Lisboa Lisbon Portugal Univ Lisbon Inst Super Tecn Lisbon Portugal

ISBN: (纸本)9783030856656;9783030856649

there is an ever-increasing amount of devices getting connected to the internet, and so is the volume of data that needs to be processed - the Internet-of-things (IoT) is a good example of this. Stream processing was created for the sole purpose of dealing with high volumes of data, and it has proven itself time and time again as a successful approach. However, there is still a necessity to further improve scalability and performance on this type of system. this work presents SDD4STREAMING, a solution aimed at solving these specific issues of stream processing engines. Although current engines already implement scalability solutions, time has shown those are not enough and that further improvements are needed. SDD4STREAMING employs an extension of a system to improve resource usage, so that applications use the resources they need to process data in a timely manner, thus increasing performance and helping other applications that are running in parallel in the same system.

关键词： Engines

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