Topics of interest include (but are not limited) to:

• Parallel/distributed architectures, enabling technologies
• Cloud computing
• Multi-core and many-core parallel computing
• GPU computing
• Impact of FPGAs on HPC
• Cluster computing
• Parallel/distributed algorithms: numerical and non-numerical
• Scheduling, mapping, load balancing
• Performance analysis and prediction
• Performance issues on various types of parallel systems
• Autotuning: methods, tools, and applications
• 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
• Interval analysis
• Applied Computing in mechanics, material processing, biology and
• medicine, physics, chemistry, business, environmental modeling, etc.
• Applications for parallel/distributed computing
• Methods and tools for parallel solution of large-scale problems