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检索条件"任意字段=25th International European Conference on Parallel and Distributed Computing, Euro-Par 2019"

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25th international european conference on parallel and distributed computing, euro-par 2019

25th International European Conference on Parallel and Distr...

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25th international european conference on parallel and distributed computing, euro-par 2019

ISBN: (纸本)9783030293994

the proceedings contain 36 papers. the special focus in this conference is on parallel and distributed computing. the topics include: Toggle: Contention-Aware Task Scheduler for Concurrent Hierarchical Operations;load-Balancing for parallel Delaunay Triangulations;design-Space Exploration with Multi-Objective Resource-Aware Modulo Scheduling;implementing Yewpar: A Framework for parallel Tree Search;PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters;Enhancing the Programmability and Performance Portability of GPU Tensor Operations;unified and Scalable Incremental Recommenders with Consumed Item Packs;Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case;clustering as Approximation Method to Optimize Hydrological Simulations;accelerating Data-Dependence Profiling with Static Hints;YOLO: Speeding Up VM and Docker Boot Time by Reducing I/O Operations;celerity: High-Level C++ for Accelerator Clusters;dataflow Execution of Hierarchically Tiled Arrays;Scalable FIFO Channels for Programming via Communicating Sequential Processes;TWA – Ticket Locks Augmented with a Waiting Array;enabling Resilience in Asynchronous Many-Task Programming Models;avoiding Scalability Collapse by Restricting Concurrency;Graph Coloring Using GPUs;featherlight Speculative Task parallelism;one Table to Count them All: parallel Frequency Estimation on Single-Board Computers;multi-valued Expression Analysis for Collective Checking;Fine-Grained MPI+OpenMP Plasma Simulations: Communication Overlap with Dependent Tasks;parallel Adaptive Sampling with Almost No Synchronization;parallel Streaming Random Sampling;Cholesky and Gram-Schmidt Orthogonalization for Tall-and-Skinny QR Factorizations on Graphics Processors;automatic Exploration of Reduced Floating-Point Representations in Iterative Methods;Linear Systems Solvers for distributed-Memory Machines with GPU Accelerators;Radio-Astronomical Imaging: FPGAs vs GPUs;Towards Portable Online Prediction of Network Utilizatio

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25th international european conference on parallel and distributed computing, europar 2019

25th International European Conference on Parallel and Distr...

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25th international european conference on parallel and distributed computing, europar 2019

ISBN: (纸本)9783030483395

the proceedings contain 63 papers. the special focus in this conference is on parallel and distributed computing. the topics include: mF2C: the Evolution of Cloud computing Towards an Open and Coordinated Ecosystem of Fogs and Clouds;academic Achievement Recognition and Verification Using Blockchain;crypto-Trading. Rechargeable Token-Based Smart Energy Market Enabled by Blockchain and IoT Technology;ethereum Transaction Performance Evaluation Using Test-Nets;blockchain-Based Trusted Cross-organizational Deliveries of Sensor-Equipped parcels;towards a Trusted Support Platform for the Job Placement Task;blockchain Materialization as a General Purpose Technology: A Research Framework;on Refining Design Patterns for Smart Contracts;dataRaceOnAccelerator – A Micro-benchmark Suite for Evaluating Correctness Tools Targeting Accelerators;Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS;application Topology Definition and Tasks Mapping for Efficient Use of Heterogeneous Resources;Toward Heterogeneous MPI+MPI Programming: Comparison of OpenMP and MPI Shared Memory Models;multicore Performance Prediction – Comparing three Recent Approaches in a Case Study;exploiting Historical Data: Pruning Autotuning Spaces and Estimating the Number of Tuning Steps;advancing Automatic Code Generation for Agent-Based Simulations on Heterogeneous Hardware;Optimization of Data-parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy through Workload Distribution;search-Based Scheduling for parallel Tasks on Heterogeneous Platforms;adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure;CCAMP: OpenMP and OpenACC Interoperable Framework;HPC Requirements of High-Fidelity Flow Simulations for Aerodynamic Applications;minimizing Self-adaptation Overhead in parallel Stream Processing for Multi-cores;data-Adapted parallel Merge Sort;In Situ Visualization of Performance-Related Data in parallel CFD Applications;time-Based C

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28th international european conference on parallel and distributed computing, euro-par 2022

28th International European Conference on Parallel and Distr...

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28th international european conference on parallel and distributed computing, euro-par 2022

ISBN: (纸本)9783031125966

the proceedings contain 25 papers. the special focus in this conference is on parallel and distributed computing. the topics include: Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models;Accelerating parallel Operation for Compacting Selected Elements on GPUs;A Methodology to Scale Containerized HPC Infrastructures in the Cloud;cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads;multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters;two-Agent Scheduling with Resource Augmentation on Multiple Machines;IP. LSH. DBSCAN : Integrated parallel Density-Based Clustering through Locality-Sensitive Hashing;graphGuess: Approximate Graph Processing System with Adaptive Correction;deterministic parallel Hypergraph partitioning;MARTINI: the Little Match and Replace Tool for Automatic Application Rewriting with Code Examples;OmpSs-2@Cluster: distributed Memory Execution of Nested OpenMP-style Tasks;Generating Work Efficient Scan Implementations for GPUs the Functional Way;automatic parallelization of Python Programs for distributed Heterogeneous computing;A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU;accelerating Brain Simulations with the Fast Multipole Method;high-Performance Spatial Data Compression for Scientific Applications;accurate Fork-Join Profiling on the Java Virtual Machine;characterization of Different User Behaviors for Demand Response in Data Centers;on-the-Fly Calculation of Model Factors for Multi-paradigm Applications;relative Performance Projection on Arm Architectures;exploring Scheduling Algorithms for parallel Task Graphs: A Modern Game Engine Case Study;Decentralized Online Scheduling of Malleable NP-hard Jobs;A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width.

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28th international european conference on parallel and distributed computing , euro-par 2022

28th International European Conference on Parallel and Distr...

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28th international european conference on parallel and distributed computing , euro-par 2022

ISBN: (纸本)9783031312083

the proceedings contain 25 papers. the special focus in this conference is on parallel and distributed computing. the topics include: Modeling Task Mapping for Data-Intensive Applications in Heterogeneous Systems;mapping Tree-Shaped Workflows on Memory-Heterogeneous Architectures;hetero-Vis: A Framework for Latency Optimized Heterogeneous Deployment of Convolutional Neural Networks;Rapid Development of OS Support with PMCSched for Scheduling on Asymmetric Multicore Systems;HIPLZ: Enabling Performance Portability for Exascale Systems;storAlloc: A Simulator for Job Scheduling on Heterogeneous Storage Resources;Performance and Scalability Analysis of AI-Accelerated CFD Simulations Across Various computing Platforms;performance Portability Assessment: Non-negative Matrix Factorization as a Case Study;task-Level Checkpointing System for Task-Based parallel Workflows;A Portable and Heterogeneous LU Factorization on IRIS;a Stochastic Programming Approach for an Enhanced Performance of a Multi-committees Byzantine Fault Tolerant Algorithm;coupe: A Modular, Multi-threaded Mesh partitioning Platform;preliminary Study of Resource Allocation in Wireless Communications;benchmarking parallelism in Unikernels;Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection;FPGAs in Supercomputers: Performance through Dataflow Programming and Flexibility;halide Code Generation Framework in Phylanx;exploring the Suitability of the Cerebras Wafer Scale Engine for Stencil-Based Computation Codes;Performance of the Vipera Framework for DSLs on Micro-Core Architectures;FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries;programming Heterogeneous Architectures Using Hierarchical Tasks;a C++ Library for Memory Layout and Performance Portability of Scientific Applications;Implementation and Performance Evaluation of Memory System Using Addressable Cache for HPC Applications on HBM2 Equipped FPGAs.

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Time-Based Consensus 25th

Time-Based Consensus

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25th international conference on parallel and distributed computing (euro-par)

作者： Heydari, Hasan Silvestre, Guthemberg Larrieu, Nicolas Pirovano, Alain Univ Toulouse ENAC Toulouse France

ISBN: (纸本)9783030483401;9783030483395

Reaching consensus is fundamental in distributed computing. For each execution of a consensus algorithm, there is no difference between the proposed values by different nodes with respect to their proposed times. By presenting a realistic application scenario related to distributed asynchronous mobile robots in dynamic environments, we argue some safety-critical, real-time systems require reaching consensus on the newest proposed values when the old proposed values may not be valid anymore. Afterward, we formulate a new type of consensus problem called time-based consensus, which requires to take into account the times of proposed values. Finally, to tackle such a consensus problem, we determine an essential characteristic which should be considered.

关键词： Consensus algorithm distributed mobile robot Safety-critical application Real-time system Dynamic environment

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Duality-Based Locality-Aware Stream partitioning in distributed Stream Processing Engines 25th

Duality-Based Locality-Aware Stream Partitioning in Distribu...

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25th international conference on parallel and distributed computing (euro-par)

作者： Son, Siwoon Moon, Yang-Sae Kangwon Natl Univ Chunchon South Korea

ISBN: (纸本)9783030483401;9783030483395

In this paper, we propose duality-based locality-aware stream partitioning (LSP) in distributed stream processing engines (DSPEs). In general, LSP directly uses the locality concept of distributed batch processing engines (DBPEs). this concept does not fully take into account the characteristics of DSPEs and therefore does not maximize cluster resource utilization. To solve this problem, we first explain the limitations of existing LSP, and we then propose a duality relationship between DBPEs and DSPEs. We finally propose a simple but efficient ping-based mechanism to maximize the locality of DSPEs based on the duality. the insights uncovered in this paper can maximize the throughput and minimize the latency in stream partitioning.

关键词： distributed processing Data stream Locality Duality

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parallel Streaming Random Sampling 25th

Parallel Streaming Random Sampling

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25th international conference on parallel and distributed computing (euro-par)

作者： Tangwongsan, Kanat Tirthapura, Srikanta Mahidol Univ Int Coll CS Program Salaya Nakhon Pathom Thailand Iowa State Univ Dept Elect & Comp Engn Ames IA USA

ISBN: (纸本)9783030294007;9783030293994

this paper investigates parallel random sampling from a potentially-unending data stream whose elements are revealed in a series of element sequences (minibatches). While sampling from a stream was extensively studied sequentially, not much has been explored in the parallel context, with prior parallel random-sampling algorithms focusing on the static batch model. We present parallel algorithms for minibatch-stream sampling in two settings: (1) sliding window, which draws samples from a prespecified number of most-recently observed elements, and (2) infinite window, which draws samples from all the elements received. Our algorithms are computationally and memory efficient: their work matches the fastest sequential counterpart, their parallel depth is small (polylogarithmic), and their memory usage matches the best known.

关键词： Artificial intelligence

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Blockchain-Based Trusted Cross-organizational Deliveries of Sensor-Equipped parcels 25th

Blockchain-Based Trusted Cross-organizational Deliveries of ...

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25th international conference on parallel and distributed computing (euro-par)

作者： Mueller, Marcel Garzon, Sandro Rodriguez Tech Univ Berlin Server Centr Networking Berlin Germany

ISBN: (纸本)9783030483401;9783030483395

Today's cross-organizational deliveries of high value and perishable goods are difficult to monitor in a reliable and trustful way. Every logistics organization operates its own track and trace system, usually in an isolated manner and with most being incompatible to each other. In order to provide better end-to-end insights and to speed-up conflict management processes, we propose to let all involved parties mutually confirm cross-organizational handovers of a parcel and to log the event immutably within a common distributed ledger. Smart sensors within or attached to parcels will in addition act as independent oracles to monitor environmental variables with respect to parcel-specific service level agreements. Violations of service level agreements will be trustfully detected and logged by the smart sensors directly on the distributed ledger, without potentially compromising legacy systems being involved. the proposed concept will serve as the base for future implementations and opens up new ways to analyze and optimize inter-organizational logistics.

关键词： distributed ledger Blockchain Supply chain Peer-to-Peer logistics

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Data-Adapted parallel Merge Sort 25th

Data-Adapted Parallel Merge Sort

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25th international conference on parallel and distributed computing (euro-par)

作者： Holke, Johannes Ruettgers, Alexander Klitz, Margrit Basermann, Achim German Aerosp Ctr DLR Dept High Performance Comp Inst Software Technol D-51147 Cologne Germany

ISBN: (纸本)9783030483401;9783030483395

In the aerospace sciences we produce huge amounts of data. this data must be arranged in a meaningful order, so that we can analyze or visualize it. In this paper we focus on data that is distributed among computer processes and then needs to be sorted by a single root process for further analysis. We assume that the memory on the root process is too small to hold all sorted data at once, so that we have to perform the sorting and processing of data chunk-wise. We prove the efficiency of our approach in weak scaling tests, where we achieve a near constant bandwidth. Additionally, we obtain a considerable speed up compared to the standard parallel external sort. We also demonstrate the usefulness of our algorithm in a real-life aviation application.

关键词： parallel sorting High-performance computing Merge sort Data analysis Aerospace sciences

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parallel Learning of Weighted Association Rules in Human Phenotype Ontology 25th

Parallel Learning of Weighted Association Rules in Human Phe...

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25th international conference on parallel and distributed computing (euro-par)

作者： Agapito, Giuseppe Cannataro, Mario Guzzi, Pietro Hiram Milano, Marianna Magna Graecia Univ Catanzaro I-88100 Catanzaro Italy

ISBN: (纸本)9783030483401;9783030483395

the Human Phenotype Ontology (HPO) is a standardized vocabulary of terms related to diseases. the importance and the specificity of HPO terms are estimated employing the Information Content (IC). thus, the analysis of annotated data is a critical challenge for bioinformatics. there exist several approaches to support ontology curators in maintaining and analysing data. Among these, the use of Association Rules (AR) can improve the quality of annotations. In this paper, we present an algorithm for the parallel extraction of Weighted Association Rules (WAR) from HPO terms and annotations, able to face high dimension of data. Experiments performed on real and synthetic datasets show good speed-up and scalability.

关键词： Human Phenotype Ontology Gene Ontology Weighted Association Rules parallel computing

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