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

Pulling rank on spatial statistics

1 min read · Sun, Feb 18 2018

News

High Performance Computing statistics

A technique that uses the power of computing could solve statistical problems cheaper and faster than current methods.

Cutting datasets down to size

1 min read · Thu, May 16 2019

News

applied mathematics computational science statistics environment

A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.

Pop stats for big geodata

1 min read · Mon, Feb 24 2020

News

climate change statistics

A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.

Mixing precision for model acceleration

1 min read · Mon, Jul 26 2021

News

extreme computing supercomputing big data statistics

A mixed-precision approach for modeling large geospatial datasets can achieve benchmark accuracy with a fraction of the computational run time.

A model for millions of locations

1 min read · Tue, Aug 23 2022

News

climate change Environmental Statistics modeling statistics

CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.

Hierarchical Computations on Manycore Architectures (HiCMA)

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