Graph Computing -- GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing -- NOC and Networks -- KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing for a Specific WK-recursive NoC Architecture -- Modeling and Analysis of the Latency-based Congestion Control Algorithm DX -- Distributed Quality-aware Resource Allocation for Video Transmission in Wireless Networks -- Neural Networks -- PRTSM: hardware data arrangement mechanisms for convolutional layer computation on the systolic array -- PParabel: Parallel Partitioned Label Trees for Extreme Classification -- Parking Behavior Analysis and Prediction -- Big data+Cloud -- ASTracer: An Efficient Tracing Tool for HDFS with Adaptive Sampling -- BGElasor: Elastic-Scaling Framework for Distributed streaming Processing with Deep Neural Network -- High Performance Continuous Query System for Streaming Data -- DDP-B: A Distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity -- Optimal Resource Allocation through Joint VM Selection and Placement in Private Clouds -- A Parallel Multi-Keyword Top-k Search Scheme over Encrypted Cloud Data -- N-Docker: a NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance -- HPC -- MMSR: A Multi-Model Super Resolution Framework -- HiPower: A High-performance RDMA Acceleration Solution for Distributed Transaction Processing -- Emerging topics -- LDAPRoam:A Generic Solution For Both Web-Based And Non-Web-Based Federate Access -- Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System -- Memory and File System -- Spindle: A Write-Optimized NVM Cache for Journaling File System -- Two-Erasure Codes from 3-Plexes -- Deep Fusion: A Software Scheduling Method for Memory Access Optimization -- Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning -- Short Papers -- I/O Optimizations Based on Workload Characteristics for Parallel File System -- Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction -- Efficient Processing of Convolutional Neural Networks on SW26010 -- ADMMLIB: A Scalable Distributed Machine Learning Library based on ADMM -- Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing -- DIN: A Bio-Inspired Distributed Intelligence Networking -- A DAG Refactor Based Automatic Execution Optimization Mechanism For Spark -- BTS: Balanced Task Scheduling Strategy based on Multi-resource Prediction and Allocation in Cloud Environment -- DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection -- SIRM: Shift Insensitive Racetrack Main Memory -- PDRM:A Probability Distribution Based Resource Management Scheme for Batch Workloads in Heterogeneous Cluster.