The use of GPUs as general purpose accelerators has continued to grow as data center class GPUs become more powerful, easier to access, and include larger available on-board storage to support larger problems. As of the latest Top500 list, 9 out of the top 10 largest supercomputers in the world now heavily depend upon GPUs for a large proportion of their maximum and peak FLOPs. It is therefore prudent that scientists and engineers developing and maintaining HPC applications continue to consider how best to utilize these accelerators and achieve maximum performance on current and future HPC systems.

This session welcomes submissions of all types exploring or currently exploiting the additional power of GPUs for weather, water, and climate applications. Example topics of interest include, but are not limited to, the benefits, drawbacks, and challenges of developing new or porting existing libraries and applications to GPUs, benchmarking new and existing applications across various vendors or generations of GPUs, profiling of applications on GPUs to realize peak performance, the adoption of performance portable frameworks and vendor-agnostic programming methods, new and innovative algorithms best suited for GPU architectures, and educational efforts to promote or expand the use of GPUs among students, faculty, or researchers at a university, laboratory, or company.

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