Applications and Algorithms

• High performance applications (high speed, low memory, low power simulations)
• Computational science
• Numerical linear algebra and its applications
• High performance library and software framework for applications
• Parallel and vectorization algorithms
• Hybrid/heterogeneous/accelerated algorithms
• Fault-tolerant algorithms
• Graph algorithms
• Programming Models and Systems Software Track

Programming Models and Systems Software

• Programming languages and compilation techniques
• Tools and libraries for performance and productivity
• Performance portability
• System management, resource management and scheduler
• Optimization for communication and memory
• Techniques for testing, debugging, reproducibility and determinism
• Techniques for fault tolerance and energy efficiency

Data, Storage and Visualization

• Big data processing with emerging hardware
• Parallel and distributed file systems
• Storage networks
• Storage systems
• Visualization and image processing
• Reliability and fault tolerance
• Scalable data management
• Transaction processing
• Integration of non-volatile memory
• I/O performance tuning, benchmarking and evaluation
• Provenance
• Experience and application studies on large-scale storage architectures
• Architectures and Networks Track

Architectures and Networks

• Memory architectures
• Interconnect/Network architectures
• Acceleration technologies (e.g., GPUs, FPGAs)
• Power/Energy-aware high-performance computing
• Dependable high-performance computing
• Architectures for emerging device technologies