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
Summary
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
Notes
International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed September 22, 2017)
