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.