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检索条件"任意字段=International Conference on Advances in Parallel and Distributed Computing"

共 24638 条记录，以下是281-290 订阅

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Ninth ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing

Ninth ACIS International Conference on Software Engineering,...

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9th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing, SNPD 2008 in conjunction with 2nd international Workshop on Advanced Internet Technology and Applications, AITA 2008

ISBN: (纸本)9780769532639

The proceedings contain 160 papers. The topics discussed include: managing quality level for developing information security systems adopting QFD;multidisciplinary design approach using repetitive response surface enhancement and global optimization;neural net water level trend prediction and dynamic water level sampling frequency;a tabu search and ant colony system approach for the capacitated location-routing problem;an adaptive performance management method for failure detection;new approaches for software watermarking by register allocation;placing a liaison between two members of the same level in an organization structure of a complete binary tree;study on ontology partition based on ant colony algorithm;the complexity of the evolution of graph labelings;the complexity of the grid wireless mobility model;and a comparison of iterative repair strategies for earth observing satellites imaging scheduling.

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22nd international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2021

22nd International Conference on Parallel and Distributed Co...

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22nd international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2021

ISBN: (纸本)9783030967710

The proceedings contain 58 papers. The special focus in this conference is on parallel and distributed computing, Applications and Technologies. The topics include: Traffic Matrix Prediction Based on Differential Privacy and LSTM;patient-Chain: Patient-centered Healthcare System a Blockchain-based Technology in Dealing with Emergencies;federated Data Integration for Heterogeneous Partitions Based on Differential Privacy;multimodal Fusion Representation Learning Based on Differential Privacy;bayesian Optimization-Based Task Scheduling Algorithm on Heterogeneous System;MOFIT: An Efficient Access Control Scheme with Attribute Merging and Outsourcing Capability for Fog-Enhanced IoT;enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification;jointly Super Resolution and Degradation Learning on Unpaired Real-World Images;roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation;Multi-zone Residential HVAC Control with Satisfying Occupants’ Thermal Comfort Requirements and Saving Energy via Reinforcement Learning;Evaluating the Performance and Conformance of a SYCL Implementation for SX-Aurora TSUBASA;distributed Fair k-Center Clustering Problems with Outliers;MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction;optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework;low Latency Execution Guarantee Under Uncertainty in Serverless Platforms;an Effective and Reliable Cross-Blockchain Data Migration Approach;A MVCC Approach to parallelizing Interoperability of Consortium Blockchain;realtime Physics Simulation of Large Virtual Space with Docker Containers;temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge computing Environments;FastDCF: A Partial Index Based distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories;matching Program Implementations and Heterogeneous computing System

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23rd international conference on parallel and distributed computing, Euro-Par 2017

23rd International Conference on Parallel and Distributed Co...

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23rd international conference on parallel and distributed computing, Euro-Par 2017

ISBN: (纸本)9783319642024

The proceedings contain 51 papers. The special focus in this conference is on parallel and distributed computing. The topics include: computing just what you need: online data analysis and reduction at extreme scales;scaling energy adaptive applications for sustainable profitability;off-road performance modeling – how to deal with segmented data;online dynamic monitoring of MPI communications;micro-benchmarking mpi neighborhood collective operations;performance characterization of de novo genome assembly on leading parallel systems;NVIDIA jetson platform characterization;following the blind seer – creating better performance models using less information;an accurate simulator of cache-line conflicts to exploit the underlying cache performance;shutdown policies with power capping for large scale computing systems;partitioning strategy selection for in-memory graph pattern matching on multiprocessor systems;efficient dynamic pinning of parallelized applications by reinforcement learning with applications;accelerating by idling: how speculative delays improve performance of message-oriented systems;optimizing egalitarian performance in the side-effects model of colocation for data center resource management;generic algorithms for scheduling applications on hybrid multi-core machines;low-cost approximation algorithms for scheduling independent tasks on hybrid platforms;runtime-assisted shared cache insertion policies based on re-reference intervals;rewriting system for profile-guided data layout transformations on binaries;hardware support for scratchpad memory transactions on GPU architectures;execution of recursive queries in apache spark;replica-aware partitioning design in parallel database systems;a simplified model for simulating the executionof a workflow in cloud;dealing with performance unpredictability in an asymmetric multicore processor cloud;deadline-aware deployment for time critical applications in clouds;an efficient communication aware heuristic for mul

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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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A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction

A Counterfactual Ultrasound Anti-Interference Self-Supervise...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yan Jia Yuqing Cheng Kele Xu Yong Dou Peng Qiao Zhouyu He National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China College of Systems Engineering National University of Defense Technology Changsha China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

B-mode ultrasound tongue imaging is a non-invasive and real-time method for visualizing vocal tract deformation. However, accurately extracting the tongue’s surface contour remains a significant challenge due to the low signal-to-noise ratio (SNR) and prevalent speckle noise in ultrasound images. Traditional supervised learning models often require large labeled datasets, which are labor-intensive to produce and susceptible to noise interference. To address these limitations, we present a novel Counterfactual Ultrasound Anti-Interference Self-Supervised Network (CUAI-SSN), which integrates self-supervised learning (SSL) with counterfactual data augmentation, progressively disentangles confounding factors, ensuring that the model generalizes well across varied ultrasound conditions. Our approach leverages causal reasoning to decouple noise from relevant features, enabling the model to learn robust representations that focus on essential tongue structures. By generating counterfactual image-label pairs, our method introduces alternative, noise-independent scenarios that enhance model training. Furthermore, we introduce attention mechanisms to enhance the network’s ability to capture fine-grained details even in noisy conditions. Extensive experiments on real ultrasound tongue images demonstrate that CUAI-SSN outperforms existing methods, setting a new benchmark for automated contour extraction in ultrasound tongue imaging. Our code is publicly available at https://***/inexhaustible419/CounterfactualultrasoundAI.

关键词： Training Ultrasonic imaging Tongue Self-supervised learning Data augmentation Data models Cognition Data mining Noise measurement Signal to noise ratio

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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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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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21st international conference on parallel and distributed computing, Applications, and Technologies, PDCAT 2020

21st International Conference on Parallel and Distributed Co...

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21st international conference on parallel and distributed computing, Applications, and Technologies, PDCAT 2020

ISBN: (纸本)9783030692438

The proceedings contain 35 papers. The special focus in this conference is on parallel and distributed computing, Applications, and Technologies. The topics include: On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization;6D Pose Estimation Based on the Adaptive Weight of RGB-D Feature;blockchain-Based Secure Outsourcing of Fully Homomorphic Encryption Using Hidden Ideal Lattice;multiple Projections Learning for Dimensional Reduction;Preventing DDoS Attacks on Bitcoin Memory Pool by the Dynamic Fee Threshold Mechanism;The Compiler of DFC: A Source Code Converter that Transform the Dataflow Code to the Multi-threaded C Code;online Learning-Based Co-task Dispatching with Function Configuration in Edge computing;System-Level FPGA Routing for Logic Verification with Time-Division Multiplexing;protein Interresidue Contact Prediction Based on Deep Learning and Massive Features from Multi-sequence Alignment;heterogeneous Software Effort Estimation via Cascaded Adversarial Auto-Encoder;see Fine Color from the Rough Black-and-White;data Aggregation Aware Routing for distributed Training;a New Integer Programming Model for the File Transfer Scheduling Problem;approximation Algorithms for the General Cluster Routing Problem;maximizing Group Coverage in Social Networks;lightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification;the Hybrid Navigation Method in Face of Dynamic Obstacles;a Relaxed Balanced Lock-Free Binary Search Tree;A Dynamic Parameter Tuning Method for High Performance SpMM;data Caching Based Transfer Optimization in Large Scale Networks;a Novel distributed Reinforcement Learning Method for Classical Chinese Poetry Generation;second-Order Convolutional Neural Network Based on Cholesky Compression Strategy;submodular Maximization with Bounded Marginal Values;the Prize-Collecting k-Steiner Tree Problem.

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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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Eighth international conference on parallel and distributed computing, Applications and Technologies - Pdcat 2007

Eighth International Conference on Parallel and Distributed ...

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2008年

作者： D S Munro

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