Difference between revisions of "ICPADS 2020"
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|Start date=2020/12/02 | |Start date=2020/12/02 | ||
|End date=2020/12/04 | |End date=2020/12/04 | ||
− | |City= | + | |City=Hong Kong |
+ | |Country=China | ||
}} | }} | ||
− | + | Also known as: IEEE ICPADS, International Conference on Parallel and Distributed Systems | |
+ | |||
+ | ==Tracks and Topics== | ||
+ | |||
+ | '''''Algorithm Track''''' | ||
+ | |||
+ | * Algorithms for resource allocation | ||
+ | * Algorithms for network optimization | ||
+ | * Algorithms for parallel and distributed computing systems | ||
+ | * Algorithms for distributed control systems | ||
+ | * Algorithms for information security and privacy | ||
+ | * Algorithms for artificial intelligence | ||
+ | * Algorithms for energy efficient computing and communications | ||
+ | * Algorithms for big data | ||
+ | * Algorithms for cloud computing | ||
+ | * Algorithms for databases and information retrieval | ||
+ | * Algorithms for quantum computing | ||
+ | * Algorithm analysis | ||
+ | * Experimental algorithmics | ||
+ | * Distributed/parallel algorithms and applicatio | ||
+ | * High-performance Computing | ||
+ | |||
+ | '''''Application Track''''' | ||
+ | |||
+ | * Edge Intelligence Applications | ||
+ | * Big Data Applications | ||
+ | * Smart City Applications | ||
+ | * High Performance Computational Biology and Bioinformatics | ||
+ | * Collective intelligence emerged from distributed systems | ||
+ | * Internet of Things Applications | ||
+ | * Distributed human-cyber-physical applications | ||
+ | * Distributed and Federated Machine Learning | ||
+ | * Blockchain applications | ||
+ | * Data Analytics | ||
+ | * Large-scale complex software systems | ||
+ | * Distributed Autonomous Robotic Systems | ||
+ | * Multi-agent learning algorithms and applications | ||
+ | |||
+ | '''''Architecture Track''''' | ||
+ | |||
+ | * Multi-core and Massively Parallel Computing Architectures | ||
+ | * Data Intensive Computing Architectures | ||
+ | * IoT, Mobile and Embedded Architectures | ||
+ | * Accelerator-based and Application-specific Architectures | ||
+ | * Architecture Support for Dependability, Reliability and Security | ||
+ | |||
+ | '''''Performance Track''''' | ||
+ | |||
+ | * Performance Modeling and analysis of Parallel or Distributed Computing | ||
+ | * Design and experimental evaluation of Parallel or Distributed Systems | ||
+ | * Simulation Models | ||
+ | * Analytical Models | ||
+ | * Measurement based Evaluation | ||
+ | * Experimental Study of Large-scale Infrastructure | ||
+ | * Innovations made in support of Performance Modeling and Evaluation | ||
+ | |||
+ | '''''Security Track''''' | ||
+ | * | ||
+ | * Access control | ||
+ | * Accounting and audit | ||
+ | * Applied cryptography | ||
+ | * Authentication | ||
+ | * Big data security and privacy | ||
+ | * Biometrics security | ||
+ | * Blockchain security and privacy | ||
+ | * Cloud computing security | ||
+ | * Computer forensics | ||
+ | * Cyber-physical system security | ||
+ | * Data and application security | ||
+ | * Embedded systems security | ||
+ | * Formal methods for security | ||
+ | * Hardware-based security and applications | ||
+ | * IoT security and privacy | ||
+ | * Key management | ||
+ | * Malware and botnets | ||
+ | * Mobile computing security | ||
+ | * Network security | ||
+ | * Operating system security | ||
+ | * Practical post-quantum security | ||
+ | * Privacy-enhancing technology | ||
+ | * Runtime attacks and defenses | ||
+ | * Secure computation | ||
+ | * Security architectures | ||
+ | * Security of critical infrastructures | ||
+ | * Security metrics | ||
+ | * Software security | ||
+ | * Threat modeling | ||
+ | * Trusted computing | ||
+ | * Usable security and privacy | ||
+ | * Web security | ||
+ | * Wireless security and privacy | ||
+ | |||
+ | '''''System Track''''' | ||
+ | |||
+ | * Distributed operating systems and middleware | ||
+ | * Distributed fault tolerance and dependability | ||
+ | * Cloud computing systems and data centers | ||
+ | * Edge computing systems | ||
+ | * Distributed big data systems and analytics | ||
+ | * Parallel and distributed file and storage systems | ||
+ | * Algorithms and theory for parallel and distributed systems | ||
+ | * Formal verification of distributed systems | ||
+ | * Blockchain systems | ||
+ | * Distributed and federated machine learning systems | ||
− | |||
− | |||
==Important Dates== | ==Important Dates== | ||
− | = | + | {| class="wikitable" |
− | + | |- | |
− | + | | Jul 15, 2020 || Deadline for full paper submissions | |
− | + | |- | |
+ | | Sep 15, 2020 || Notification of paper acceptance | ||
+ | |- | ||
+ | | Oct 1, 2020 || Deadline for camera-ready papers | ||
+ | |} | ||
− | |||
− | |||
− | + | ==Committees== | |
− | + | '''''Steering Committee Chair''''' | |
− | + | Lionel M. Ni, Hong Kong University of Science and Technology | |
− | |||
− | + | '''''General Chair''''' | |
− | |||
− | + | Jiannong Cao, The Hong Kong Polytechnic University | |
− | |||
− | |||
− | + | '''''Peogram Chair''''' | |
− | |||
− | + | Song Guo, The Hong Kong Polytechnic University | |
− | |||
− |
Latest revision as of 11:06, 25 August 2020
ICPADS 2020 | |
---|---|
26th IEEE International Conference on Parallel and Distributed Systems
| |
Event in series | ICPADS |
Dates | 2020/12/02 (iCal) - 2020/12/04 |
Location | |
Location: | Hong Kong, China |
Loading map... | |
Table of Contents | |
Also known as: IEEE ICPADS, International Conference on Parallel and Distributed Systems
Tracks and Topics
Algorithm Track
- Algorithms for resource allocation
- Algorithms for network optimization
- Algorithms for parallel and distributed computing systems
- Algorithms for distributed control systems
- Algorithms for information security and privacy
- Algorithms for artificial intelligence
- Algorithms for energy efficient computing and communications
- Algorithms for big data
- Algorithms for cloud computing
- Algorithms for databases and information retrieval
- Algorithms for quantum computing
- Algorithm analysis
- Experimental algorithmics
- Distributed/parallel algorithms and applicatio
- High-performance Computing
Application Track
- Edge Intelligence Applications
- Big Data Applications
- Smart City Applications
- High Performance Computational Biology and Bioinformatics
- Collective intelligence emerged from distributed systems
- Internet of Things Applications
- Distributed human-cyber-physical applications
- Distributed and Federated Machine Learning
- Blockchain applications
- Data Analytics
- Large-scale complex software systems
- Distributed Autonomous Robotic Systems
- Multi-agent learning algorithms and applications
Architecture Track
- Multi-core and Massively Parallel Computing Architectures
- Data Intensive Computing Architectures
- IoT, Mobile and Embedded Architectures
- Accelerator-based and Application-specific Architectures
- Architecture Support for Dependability, Reliability and Security
Performance Track
- Performance Modeling and analysis of Parallel or Distributed Computing
- Design and experimental evaluation of Parallel or Distributed Systems
- Simulation Models
- Analytical Models
- Measurement based Evaluation
- Experimental Study of Large-scale Infrastructure
- Innovations made in support of Performance Modeling and Evaluation
Security Track
- Access control
- Accounting and audit
- Applied cryptography
- Authentication
- Big data security and privacy
- Biometrics security
- Blockchain security and privacy
- Cloud computing security
- Computer forensics
- Cyber-physical system security
- Data and application security
- Embedded systems security
- Formal methods for security
- Hardware-based security and applications
- IoT security and privacy
- Key management
- Malware and botnets
- Mobile computing security
- Network security
- Operating system security
- Practical post-quantum security
- Privacy-enhancing technology
- Runtime attacks and defenses
- Secure computation
- Security architectures
- Security of critical infrastructures
- Security metrics
- Software security
- Threat modeling
- Trusted computing
- Usable security and privacy
- Web security
- Wireless security and privacy
System Track
- Distributed operating systems and middleware
- Distributed fault tolerance and dependability
- Cloud computing systems and data centers
- Edge computing systems
- Distributed big data systems and analytics
- Parallel and distributed file and storage systems
- Algorithms and theory for parallel and distributed systems
- Formal verification of distributed systems
- Blockchain systems
- Distributed and federated machine learning systems
Important Dates
Jul 15, 2020 | Deadline for full paper submissions |
Sep 15, 2020 | Notification of paper acceptance |
Oct 1, 2020 | Deadline for camera-ready papers |
Committees
Steering Committee Chair
Lionel M. Ni, Hong Kong University of Science and Technology
General Chair
Jiannong Cao, The Hong Kong Polytechnic University
Peogram Chair
Song Guo, The Hong Kong Polytechnic University
Facts about "ICPADS 2020"
Acronym | ICPADS 2020 + |
End date | December 4, 2020 + |
Event in series | ICPADS + |
Event type | Conference + |
Has OC member | Some person + |
Has PC member | Some person + |
Has coordinates | 22° 21' 2", 114° 11' 6"Latitude: 22.350627777778 Longitude: 114.18491666667 + |
Has demo chair | Some person + |
Has general chair | Some person + |
Has local chair | Some person + |
Has location city | Hong Kong + |
Has location country | Category:China + |
Has program chair | Some person + |
Has tutorial chair | Some person + |
Has workshop chair | Some person + |
IsA | Event + |
Start date | December 2, 2020 + |
Title | 26th IEEE International Conference on Parallel and Distributed Systems + |