International Symposium on Parallel and Distributed Computing
摘要截稿:
全文截稿: 2019-04-01
开会时间: 2019-06-03
会议难度:
CCF分类: 无
会议地点: Amsterdam, The Netherlands
Overview
We kindly invite you to submit original contributions to ISPDC-2019 on topics including, but not limited to:
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 Computing
Innovative System Architecture for Big Data Processing
System Architecture for Graph Computing/Processing
Interconnect Architecture for HPC and Data Centers
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
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
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
Edge Computing
Fog computing and networking architectures
Edge-Cloud interactions and enabling protocols
System and service management
Edge resource management
Distributed data centers, edge data analytics, edge caching
Security and privacy
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
Performance Modeling, Management and Optimisation
Scheduling and Load Balancing
Performance Modeling, Analysis and Evaluation
Optimisation, Security and Dependability
Interactivity
Real-time Distributed and Parallel Systems
Visualisation of Massively Parallel Data
IoT, Social Networks