<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Advanced Parallel Processing Technologies</title>
    <subTitle>15th International Symposium, APPT 2023, Nanchang, China, August 4–6, 2023, Proceedings</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Li, Chao.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Li, Zhenhua.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Shen, Li.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Wu, Fan.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Gong, Xiaoli.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">si</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XIII, 452 p. 202 illus., 167 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">edited by Chao Li, Zhenhua Li, Li Shen, Fan Wu, Xiaoli Gong.</note>
  <subject authority="lcsh">
    <topic>Software engineering</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Operating systems (Computers)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computers, Special purpose</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Software Engineering</topic>
  </subject>
  <subject>
    <topic>Operating Systems</topic>
  </subject>
  <subject>
    <topic>Computer System Implementation</topic>
  </subject>
  <subject>
    <topic>Special Purpose and Application-Based Systems</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <classification authority="lcc">QA76.758</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Lecture Notes in Computer Science, 14103</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9789819978724</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-7872-4</identifier>
  <location>
    <url>https://doi.org/10.1007/978-981-99-7872-4</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">231107</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030110830.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-981-99-7872-4</recordIdentifier>
  </recordInfo>
</mods>
