Atnaujinkite slapukų nuostatas

El. knyga: Advanced Parallel Processing Technologies: 15th International Symposium, APPT 2023, Nanchang, China, August 4-6, 2023, Proceedings

Edited by , Edited by , Edited by , Edited by , Edited by

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book constitutes the refereed proceedings of the 15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023, held in Nanchang, China, during August 4–6, 2023.

The 23 full papers and 1 short papers included in this book were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: High Performance Computing and Parallelized Computing, Storage Systems and File Management, Networking and Cloud Computing, Computer Architecture and Hardware Acceleration, Machine Learning and Data Analysis, Distinguished Work from Student Competition.

High Performance Computing and Parallelized Computing.- Enhancing
Multi-physics Coupling on ARM Many-core Cluster.- Polaris: Enhancing
CXL-based Memory Expanders with Memory-side Prefetching.- ExtendLife: Weights
Mapping Framework to Improve RRAM Lifetime for Accelerating CNN.- The
Optimization of IVSHMEM Based on Jailhouse.- Multi-agent Cooperative
Computing Resource Scheduling Algorithm for Periodic Task Scenarios.- Storage
Systems and File Management.- CLMS: Configurable and Lightweight Metadata
Service for Parallel File Systems on NVMe SSDs.- Combining Cache and Refresh
to Optimize SSD Read Performance Scheme.- CCS: a Motif-based Storage Format
for Micro-execution Dependence Graph.- Hydis: A Hybrid Consistent KVS with
Effective Sync Among Replicas.- Networking and Cloud Computing.- An Automatic
Deployment Method for Hybrid Cloud Simulation Platform.- Reliability
Optimization Scheduling and Energy balancing for Real-time Application in Fog
Computing Environment.- Federated Classification for Multiple Blockchain
Systems.- Towards Privacy-Preserving Decentralized Reputation Management for
Vehicular Crowdsensing.- Delay Optimization for Consensus Communication in
Blockchain-Based End-Edge-Cloud Network.- Computer Architecture and Hardware
Acceleration.- A Low-latency Hardware Accelerator for YOLO Object Detection
Algorithms.- SCFM: a Statistical Coarse-to-Fine Method to Select
Cross-Microarchitecture Reliable Simulation Points.- On-Demand Triggered
Memory Management Unit in Dynamic Binary Translator.- MFHBT: Hybrid Binary
Translation System with Multi-stage Feedback Powered by LLVM.- Step and Save:
An Incentive Mechanism for Health Insurance Based on Wearable
Technology.- Machine Learning and Data Analysis.- Spear-phishing Detection
Method Based on Few-shot Learning.- Time Series Classificationbased on
Data-Augmented Contrastive Learning.-From Ledger to P2P network:
De-anonymization on Bitcoin Using Cross-layer Analysis.- Robust Online
Crowdsourcing with Strategic Workers.- Distinguished Work from Student
Competation.- New Filter2D Accelerator on the Versal Platform Powered by the
AI Engine.