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Hierarchical Computations on Manycore Architectures
HiCMA
Hierarchical Computations on Manycore Architectures
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applied statistics

On The Coupling between HPC and Statistics: Challenges, Opportunities, and Future Trends of Emerging Techniques -- (Virtual SIAM CSE21 Minisymposium)

Mar 1, 09:00 - 16:00

KAUST

applied statistics big data

Abstract Big data modeling/inference and large-scale simulations have followed largely independent paths to the high-performance computing (HPC) frontier, but important opportunities now arise that can be addressed by combining the strengths of each. HPC is becoming increasingly significant in scaling existing statistical methods to larger and more complex applications and developing novel methods that are amenable to scaling within the constraints that exist in modern HPC architectures. The purpose of this minisymposium is to bring together researchers in the area of statistics and HPC to

Hierarchical Computations on Manycore Architectures (HiCMA)

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