The 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2021) covers topics such as:
Architectures:
- 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
Algorithms:
- 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
