Topic of interest include, but are not limited to:

• Computer architecture and hardware, including multicore and multiprocessor systems, accelerators, memory, interconnection network and storage and file systems;
• High-performance computational and programming models, including new languages and middleware for high performance computing, auto-tuning and function-specific code generators;
• High performance system software, including compilers, runtime systems, programming and development tools, performance tools, and operating systems;
• Hardware and software solutions for heterogeneity, reliability, and power efficiency;
• Languages, runtimes, and hardware for “big data” scenarios with a focus on high-performance data analytics, including scalable data structures, dealing with large quantities of unstructured data, online monitoring and I/O, and parallel visualization;
• Computationally challenging scientific and commercial applications, particularly studies and experiences on large-scale systems, and supercomputing on big data problems;
• Large scale installations, including case studies to guide the design of future systems and solutions for efficiently scaling power, performance and reliability;
• Novel infrastructures for internet, grid and cloud computing;
• Performance evaluation studies and theoretical underpinnings of any of the above topics.