Advanced Parallel Processing Technologies: 12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings: Lecture Notes in Computer Science, cartea 10561
Editat de Yong Dou, Haixiang Lin, Guangyu Sun, Junjie Wu, Dora Heras, Luc Bougéen Limba Engleză Paperback – 14 sep 2017
This book constitutes the proceedings of the 12th International Symposium on Advanced Parallel Processing Technologies, APPT 2017, held in Santiago de Compostela, Spain, in August 2017.
The 11 regular papers presented in this volume were carefully reviewed and selected from 18 submissions. They deal with the recent advances in big data processing; parallel architectures and systems; parallel software; parallel algorithms and artificial intelligence applications; and distributed and cloud computing.
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Specificații
ISBN-13: 9783319679518
ISBN-10: 3319679511
Pagini: 129
Ilustrații: IX, 129 p. 74 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319679511
Pagini: 129
Ilustrații: IX, 129 p. 74 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
Platform-Adaptive High-Throughput Surveillance Video Condensation on Heterogeneous Processor Clusters.- Using Data Compression for Optimizing FPGA-based Convolutional Neural Network Accelerators.- Molecular docking Simulation Based on CPU-GPU Heterogeneous Computing.- FixCaffe: Training CNN with Low Precision Arithmetic Operations by Deep Learning Framework Caffe.- SysMon: Monitoring Memory Behaviors via OS Approach.- Self-adaptive Failure Detector for Peer-to-Peer Distributed System Considering the Link Faults.- A Survey about Quantitative Measurement of Performance Variability in High Performance Computers.- GDCRT: In-Memory 2D Geographical Dynamic Cascading Range Tree.- Eleven Code: A 3-Erasure MDS Code with Optimize Partial Stripes Writes.- Parallel Peer Pressure Clustering Algorithm based on Linear Algebra Computation.- T-List: A Concurrent Skip List Balanced on Search.
Caracteristici
Includes supplementary material: sn.pub/extras