Muutke küpsiste eelistusi

E-raamat: Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20-22, 2023, Proceedings, Part III

Edited by , Edited by , Edited by
  • Formaat - PDF+DRM
  • Hind: 80,26 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October, 2023.

The 145 full papers included in this book were carefully reviewed and selected from 439 submissions. ICA3PP covers many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.


Addressing Coupled Constrained Reinforcement Learning via Interative
Iteration Design.- A Path Planning and Obstacle Avoidance Method for USV
based on Dynamic-Target APF Algorithm in Edge.- Node-Disjoint Paths in
Balanced Hypercubes with Application to Fault-Tolerant Routing.- Performance
Evaluation of Spark, Ray and MPI: A Case Study on Long Read Alignment
Algorithm.- Fairness Analysis and Optimization of BBR Congestion Control
Algorithm.- Accelerating QUIC with AF_XDP.- Segmenta: Pipelined BFT Consensus
with Slicing Broadcast.- Synthetic Data Generation for Differential Privacy
Using Maximum Weight Matching.- Approximate Multicast Coflow Scheduling in
Reconfigurable Data Center Networks.- DAS a DRAM-based Annealing System for
Solving Large-Scale Combinatorial Optimization Problems.- Inductive Graph
Neural Network for Key class identification in software
system.- Spatio-temporal Fusion based Low-loss Video Compression Algorithm
for UAVs with Limited Processing Capability.- CRAFT: Common Router
Architecture For Throughput Optimization.- A Cross-Chain System Supports
Verifiable Complete Data Provenance Queries.- Enabling Traffic-differentiated
Load Balancing for Datacenter Networks.- Deep Reinforcement Learning based
Load Balancing for Heterogeneous Traffic in Datacenter Networks.- Adaptive
Routing for Datacenter Networks Using Ant Colony Optimization.- MPC: a novel
internal clustering validity index based on midpoint-involved
distance.- HAECN: Hierarchical Automatic ECN Tuning with Ultra-low Overhead
in Datacenter.- An Android Malware Detection Method based on Met a path
Aggregated Graph Neural Network.- A Joint Resource Allocation and Task
Offloading Algorithm in Satellite Edge Computing.- gGMED: Towards GPU
Accelerated Geometric Modeling Evaluation and Derivative
Processes.- Parallelized ADMM with General Objectives for Deep
Learning.- Multi-view Neighbor-enriched Contrastive Learning Framework for
Bundle Recommendation.- Efficient Respiration Rate Estimation Based on MIMO
mmWave Radar.- Running serverless function on resource fragments in data
center.- IKE: Threshold Key Escrow Service with Intermediary Encryption.- A
Constructive Method for Data Reduction and Imbalanced Sampling.- Period
Extraction for Traffic Flow Prediction.