International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)


The International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) covers topics such as:


  • Multi/many-core architectures
  • Cluster, grid and cloud computing systems
  • Interconnection networks
  • Survivable and safety-critical systems
  • Network-on-chip architectures
  • Sensor, wireless and RFID systems
  • Ubiquitous computing systems
  • Self-healing, self-protecting network systems
  • Reconfigurable architectures


  • Combinatorial and graph algorithms
  • Task mapping and job scheduling
  • Numeric algorithms
  • High-performance scientific computing
  • Parallel/distributed databases and knowledge discovery
  • Power-aware Computing
  • Resource allocation and management
  • Network routing and traffic control
  • Secure distributed computing
  • Multi/many-core programming

Parallel Programming:

  • Formal methods and verification
  • Parallel programming theory and models
  • Parallel programming languages
  • Middleware for parallel systems
  • Performance analysis, debugging and optimization
  • Parallel compilers and runtime systems

High Performance Systems:

  • Parallel libraries and application frameworks
  • High-performance computer arithmetic
  • Operating systems for parallel/distributed systems
  • Performance tuning, optimization and profiling
  • Memory hierarchy and caching
  • Photonic and quantum computing
  • Human-computer interaction in parallel/distributed systems
  • Software engineering for parallel/distributed system
  • Media computing in parallel/distributed systems
  • Cloud security

Privacy and Security:

  • Cryptography
  • Data privacy protection
  • Copyright protection
  • Intrusion detection
  • Data provenance
  • Access control

Big Data Processing and Deep Learning:

  • Trusted computing
  • Big data models and computation theory
  • Mass data stream processing in clouds
  • Dimension reduction for large data sets
  • Big data mining and fusion
  • Multi-source data processing and integration
  • Big data placement, scheduling and optimization
  • Deep learning applications
  • Deep learning models

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Please, check the official event website for possible changes, before making any traveling arrangements

Event Categories

Science: Computer Science
Technology: Communication Networks, Information Technology (IT)

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