Advanced Parallel Processing Technologies

12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-67951-8
Verlag: Springer-Verlag GmbH

Buch, Englisch, 129 Seiten, Book, Format (B × H): 154 mm x 238 mm, Gewicht: 2234 g

Reihe: Theoretical Computer Science and General Issues

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.

Zielgruppe

Research

Autoren/Hrsg.

Dou, Yong

Lin, Haixiang

Sun, Guangyu

Wu, Junjie

Heras, Dora

Bougé, Luc

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen

Inhaltsverzeichnis

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.