Description
Advanced Parallel Processing Technologies, 1st ed. 2017
12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings
Theoretical Computer Science and General Issues Series
Coordinators: Dou Yong, Lin Haixiang, Sun Guangyu, Wu Junjie, Heras Dora, Bougé Luc
Language: EnglishSubjects for Advanced Parallel Processing Technologies:
Keywords
parallel computing; distributed processing; computer architecture; software systems; algorithms; applications; artificial intelligence; machine learning; accelerator; cloud computing; program processors; databases; genetic algorithms; computer networks; signal processing; world wide web; algorithm analysis and problem complexity
Publication date: 09-2017
Support: Print on demand
Support: Print on demand
Description
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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.
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.
Includes supplementary material: sn.pub/extras
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