Focus

• Theoretical foundations, models, and complexity issues
• Numerical algorithms
• Emerging paradigms for parallel and distributed computation
• Lower bounds
• Approximation and randomized algorithms
• Design, analysis and engineering of distributed and parallel algorithms
• Data structures for parallel and distributed algorithms
• Algorithms for combinatorial and graph problems
• Algorithms and models for big Data/Data-intensive computing
• Learning and mining algorithms
• Algorithms for routing and information dissemination in communication networks
• Algorithms for social networks
• Fault tolerant and self-stabilizing algorithms
• Power/energy-efficient algorithms
• Algorithms for distributed computing
• Algorithms and principles of distributed ledgers (blockchains)
• Algorithms for cloud and edge computing
• Algorithmic game theory related to parallel and distributed systems
• Theoretical aspects of dependable, secure and privacy-preserving distributed systems