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26th international european conference on parallel and Distributed computing, euro-par 2020

26th International European Conference on Parallel and Distr...

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26th international european conference on parallel and Distributed computing, euro-par 2020

ISBN: (纸本)9783030576745

the proceedings contain 39 papers. the special focus in this conference is on parallel and Distributed computing. the topics include: A makespan lower bound for the tiled cholesky factorization based on ALAP schedule;preface;skipping non-essential instructions makes data-dependence profiling faster;Optimal GPU-CPU offloading strategies for deep neural network training;improving mapping for sparse direct solvers: A trade-off between data locality and load balancing;modelling standard and randomized slimmed folded clos networks;ompMemOpt: Optimized memory movement for heterogeneous computing;Accelerating deep learning inference with cross-layer data reuse on GPUs;Distributed fine-grained traffic speed prediction for large-scale transportation networks based on automatic LSTM customization and sharing;Optimizing FFT-based convolution on ARMv8 multi-core CPUs;maximizing I/O bandwidth for reverse time migration on heterogeneous large-scale systems;TorqueDB: Distributed querying of time-series data from edge-local storage;data-centric distributed computing on networks of mobile devices;a toolchain to verify the parallelization of OmpSs-2 applications;WPSP: A multi-correlated weighted policy for VM selection and migration for cloud computing;LCP-aware parallel string sorting;Mobile RAM and shape formation by programmable particles;approximation algorithm for estimating distances in distributed virtual environments;on the power of randomization in distributed algorithms in dynamic networks with adaptive adversaries;3D coded SUMMA: Communication-efficient and robust parallel matrix multiplication;managing failures in task-based parallel workflows in distributed computing environments;accelerating nested data parallelism: Preserving regularity;using dynamic broadcasts to improve task-based runtime performances;a compression-based design for higher throughput in a lock-free hash map;NV-PhTM: An efficient phase-based transactional system for non-volatile memory.

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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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29th international european conference on parallel and Distributed computing, euro-par 2023

29th International European Conference on Parallel and Distr...

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29th international european conference on parallel and Distributed computing, euro-par 2023

ISBN: (纸本)9783031396977

the proceedings contain 49 papers. the special focus in this conference is on . the topics include: SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments;ODIN: Overcoming Dynamic Interference in iNference Pipelines;DAG-Based Efficient parallel Scheduler for Blockchains: Hyperledger Sawtooth as a Case Study;INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows;How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications;assessing Power Needs to Run a Workload with Quality of Service on Green Datacenters;improving Utilization of Dataflow Architectures through Software and Hardware Co-Design;a Multi-level parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions;lock-Free Bucketized Cuckoo Hashing;perun: Benchmarking Energy Consumption of High-Performance computing Applications;Bithist: A Precision-Scalable Sparse-Awareness DNN Accelerator Based on Bit Slices Products Histogram;computational Storage for an Energy-Efficient Deep Neural Network Training System;Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA;FedGM: Heterogeneous Federated Learning via Generative Learning and Mutual Distillation;DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip;Auto-Divide GNN: Accelerating GNN Training with Subgraph Division;model-Agnostic Federated Learning;scalable Random Forest with Data-parallel computing;SymED: Adaptive and Online Symbolic Representation of Data on the Edge;MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits;Extending OpenSHMEM with Aggregation Support for Improved Message Rate Performance;distributed Deep Multilevel Graph partitioning;TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators;distributed k-Means with Outliers in General Metrics;a parallel Scan Algorithm in the Tensor Core Unit Model;improved Algorithms for Monotone Moldable Job Scheduling Using Compres

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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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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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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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PPQSort: Pattern parallel Quicksort 15th

PPQSort: Pattern Parallel Quicksort

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15th international conference on parallel Processing and Applied Mathematics, PPAM 2024

作者： Hévr, Gabriel Šimeček, Ivan Department of Computer Systems Faculty of Information Technology Czech Technical University in Prague Thákurova 9 Prague16000 Czech Republic

ISBN: (纸本)9783031856969

this paper presents PPQSort (Pattern parallel Quicksort), a new parallel quicksort algorithm that provides high performance and ease of use. PPQSort uses C++ threads for parallelization, achieving efficient sorting without external libraries and allowing seamless integration across different computing environments. this paper describes novel quicksort optimizations, including branchless partitioning and their efficient parallel implementation. PPQSort is compared with existing parallel quicksort algorithms on different machines and with different input data. Experimental evaluation results demonstrate that PPQSort is fast and robust, consistently outperforming the fastest available parallel quicksort implementations for almost all inputs. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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24th international european conference on parallel and Distributed computing, euro-par 2018

24th International European Conference on Parallel and Distr...

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24th international european conference on parallel and Distributed computing, euro-par 2018

ISBN: (纸本)9783319969824

the proceedings contain 57 papers. the special focus in this conference is on parallel and Distributed computing. the topics include: Combined Vertical and Horizontal Autoscaling through Model Predictive Control;Early Termination of Failed HPC Jobs through Machine and Deep Learning;peacock: Probe-Based Scheduling of Jobs by Rotating Between Elastic Queues;online Scheduling of Task Graphs on Hybrid Platforms;interference-Aware Scheduling Using Geometric Constraints;resource-Efficient Execution of Conditional parallel Real-Time Tasks;Improving GPU Cache Hierarchy Performance with a Fetch and Replacement Cache;abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms;Using Dynamic Compilation to Achieve Ninja Performance for CNN Training on Many-Core Processors;a Methodology for Performance Analysis of Applications Using Multi-layer I/O;privacy-Preserving Top-k Query Processing in Distributed Systems;minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling;VIoLET: A Large-Scale Virtual Environment for Internet of things;adaptive Bandwidth-Efficient Recovery Techniques in Erasure-Coded Cloud Storage;IT Optimization for Datacenters Under Renewable Power Constraint;GPU Provisioning: the 80 - 20 Rule;ECSched: Efficient Container Scheduling on Heterogeneous Clusters;combinatorial Auction Algorithm Selection for Cloud Resource Allocation Using Machine Learning;cloud Federation Formation in Oligopolistic Markets;improving Cloud Simulation Using the Monte-Carlo Method;Runtime Determinacy Race Detection for OpenMP Tasks;Nobody Cares if You Liked Star Wars: KNN Graph Construction on the Cheap;One-Sided Communications for More Efficient parallel State Space Exploration over RDMA Clusters;robust Decentralized Mean Estimation with Limited Communication;snapshot-Based Synchronization: A Fast Replacement for Hand-over-Hand Locking;measuring Multithreaded Message Matching Misery;high-Quality Shared-Memory Graph partitioning.

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30th international conference on parallel and Distributed computing, euro-par 2024

30th International Conference on Parallel and Distributed Co...

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30th international conference on parallel and Distributed computing, euro-par 2024

ISBN: (纸本)9783031695766

the proceedings contain 88 papers. the special focus in this conference is on parallel and Distributed computing. the topics include: ESIMD GPU Implementations of Deep Learning Sparse Matrix Kernels;Deconstructing HPL-MxP Benchmark: A Numerical Perspective;ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA;Predicting GPU Kernel’s Performance on Upcoming Architectures;Bringing Auto-Tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs;A Mechanism to Generate Interception Based Tools for HPC Libraries;OMPGPT: A Generative Pre-trained Transformer Model for OpenMP;Scheduling Distributed I/O Resources in HPC Systems;Light-Weight Prediction for Improving Energy Consumption in HPC Platforms;EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis;Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems;solving the Restricted Assignment Problem to Schedule Multi-get Requests in Key-Value Stores;PriCE: Privacy-Preserving and Cost-Effective Scheduling for parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds;a 1.25(1+ϵ)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times;DProbe: Profiling and Predicting Multi-tenant Deep Learning Workloads for GPU Resource Scaling;sAirflow: Adopting Serverless in a Legacy Workflow Scheduler;hurry: Dynamic Collaborative Framework For Low-Orbit Mega-Constellation Data Downloading;optimizing Service Replication and Placement for IoT Applications in Fog computing Systems;Deadline-Driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors;Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters;context-Aware Runtime Type Prediction for Heterogeneous Microservices;makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints;Node Bundle Scheduling: An Ultra-low Latency Traffic Scheduling Algorithm for TAS-Based

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30th international conference on parallel and Distributed computing, euro-par 2024

30th International Conference on Parallel and Distributed Co...

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30th international conference on parallel and Distributed computing, euro-par 2024

ISBN: (纸本)9783031697654

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