1.System Architectures for Parallel and Distributed Computing

*Multi-Cores, Virtualization

*Clusters and Grid Computing

*Methods and Tools for Parallel and Distributed Programming

*Embedded, Mobile and Networking Environments

*System Architecture and System Software for In-Memory Computingr

*Innovative System Architecture for Big Data Processing

*System Architecture for Graph Computing/Processing

*Interconnect Architecture for HPC and Data Centers

2.High Performance Computing and Large Scale Applications

*Tools and Environments for Parallel Program Design/Analysis

*Scalable Algorithms and Applications

*Urban Networks and Applications, Vehicular Networks

*Parallel, Distributed and Mobile big-Data Management

3.Parallel Computing and Algorithms

*Parallel Programming Paradigms and APIs

*GPU Programming

*Bio-inspired Parallel Algorithms

*Big Data and Graph Analytics

*Algorithms, Models and Formal Verification

4.Distributed and Embedded Computing

*Collaborative Computing, P2P Computing

*Mobile and Ubiquitous Computing

*Web Services and Internet Computing

*Distributed Software Components, Multi-agent Systems

*Parallel Embedded Systems Programming

*Highly Embedded Parallel Systems Support for Programming

*FPGA and SoC Solutions

5.Interactivity

*Real-time Distributed and Parallel Systems

*Visualisation of Massively Parallel Data

*IoT, Social Networks

*IoT Architectures and Services

*IoT Applications

6.Cloud Computing

*Cloud Resource Provisioning and Allocation

*Pricing of Cloud Resources

*Cloud Performance, and Capacity Management

*Green Cloud Computing

*Mobile Clouds

*Security and Privacy in Clouds

*Cloud Computing Techniques for Big Data

*Storage Architectures for Clouds and Big Data Processing

*Multimedia Data Processing

7.Performance Modeling, Management and Optimization

*Scheduling and Load Balancing

*Performance Modeling, Analysis and Evaluation

*Optimisation, Security and Dependability