Designing HPC, Big Data, & Deep Learning Middleware for Exascale

DK Panda from Ohio State University presented this talk at the HPC Advisory Council Spain Conference. "This talk will focus on challenges in designing HPC, Big Data, and Deep Learning middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models. Features and sample performance numbers from MVAPICH2 libraries will be presented."

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