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Produktbild: Algorithms and Architectures for Parallel Processing
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Algorithms and Architectures for Parallel Processing 25th International Conference, ICA3PP 2025, Zhengzhou, China, October 30–November 2, 2025, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.04.2026

Abbildungen

XXII, 248 illus., 213 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Huazhong Liu + weitere

Verlag

Springer Singapore

Seitenzahl

610

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

943 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9584-01-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.04.2026

Abbildungen

XXII, 248 illus., 213 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

610

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

943 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9584-01-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Algorithms and Architectures for Parallel Processing

  • .- Parallel and Distributed Algorithms and Applications.

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    .- EAHP: An Efficient Automatic Hybrid Parallelism Approach with Genetic Algorithm.

    .- Shadow: Research on Asynchronous DAG Consensus Mechanism Based on Dynamic Privacy Address Selection.

    .- GIT: Accelerating Distributed DNN Training via Similar Gradient Filtering.

    .- A Lightweight Framework for Energy-Aware Prediction and Scheduling in Heterogeneous HPC Clusters.

    .- Hybrid-SAIME: Accelerating Surface and Interbed Multiple Elimination Method via 3-Stage Pipeline Parallel and Load Balancing on CPU-GPU Platforms.

    .- HETER-GSD: Accelerating Heterogeneous Edge GNN Inference.

    .- SHPTA: Stable Hybrid Parallel Distributed Training Architecture in Dual-Heterogeneous Environments.

    .- DeFragS: Mitigating Resource Fragmentation in GPU Clusters Through Spatial-Temporal Scheduling.

    .- OA-WGAN: A Clustering-Guided GAN for Disk Fault Augmentation.

    .- Dynamic Adaptive Fault-Tolerance in Stream Computing Systems under Resource Constraints.

    .- Auto-CLOUDSC: An Auto-Generation Framework for Vectorization and Optimization of Cloud Microphysics Parameterization on ARM CPUs.

    .- Coalition Formation-Based Auction for Deep Neural Network Inference in Vehicular Edge Computing.

    .- FedCSAD: Federated Learning with Contextual Client Selection and Confidence-Weighted Multi-Teacher Knowledge Distillation in Power Equipment Inspection.

    .- DRL-Based Collaborative Caching Strategy Considering User Preference Prediction in UAV-Assisted Vehicular Edge Computing.

    .- MPPTS: Multi-Factor Predictive Priority Task Scheduling Algorithm for Heterogeneous Systems.

    .- FPAMM: Fine-Grained Pipeline Architecture Accelerator for the Novel Transformer Architecture - Monarch Mixer.

    .- Ly-MAPPO: Enhancing Dynamic V2V Communication via Lyapunov-Based MAPPO under Multi-Dimensional Constraints.

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    .- Vectorized Optimization Implementation of Multi-Scalar Multiplication Based on Heterogeneous Digital Signal Processor.

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