Submissions will be considered on any topic related to high performance computing within the areas below. Authors must indicate a primary area from the choices on the submissions form and are strongly encouraged to indicate a secondary area.

Small-scale studies – including single-node studies – are welcome as long as the paper clearly conveys the work’s contribution to high performance computing.

Algorithms

The development, evaluation, and optimization of scalable, general-purpose, high performance algorithms.

Applications

The development and enhancement of algorithms, parallel implementations, models, software and problem solving environments for specific applications that require high performance resources.

Architecture and Networks

All aspects of high performance hardware including the optimization and evaluation of processors and networks.

Clouds and Distributed Computing

Cloud and system software architecture, configuration, optimization and evaluation, support for parallel programming on large-scale systems or building blocks for next-generation HPC architectures.

Data Analytics, Visualization, and Storage

All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems. Submissions on work done at scale are highly favored.

Machine Learning and HPC

The development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high-performance and cloud computing platforms.

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