Buch, Englisch, Band 10561, 129 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2234 g
12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings
Buch, Englisch, Band 10561, 129 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2234 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-67951-8
Verlag: Springer
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.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
- Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
Weitere Infos & Material
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.
