PPAM

Parallel/distributed architectures, enabling technologies
Quantum computing and communication
Neuromorphic computing
Computing beyond Moore's Law
Cluster, cloud, edge and fog computing
Multi-core and many-core parallel computing, GPU computing
Heterogeneous/hybrid computing and accelerators
Parallel/distributed algorithms: numerical and non-numerical
Scheduling, mapping, load balancing
Performance analysis and prediction
Performance issues on various types of parallel systems
Auto-tuning and auto-parallelization: methods, tools, and applications
Power and energy aspects of computation
Parallel/distributed programming
Tools and environments for parallel/distributed computing
Security and dependability in parallel/distributed environments
HPC numerical linear algebra
HPC methods of solving differential equations
Evolutionary computing, meta-heuristics and neural networks
Machine learning, artificial intelligence and HPC
HPC interval analysis
Applied Computing in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc.
Applications of parallel/distributed computing
Methods and tools for parallel solution of large-scale problems, including artificial intelligence and machine learning applications