KAUST Leverages Mixed Precision for Geospatial Data
KAUST Leverages Mixed Precision for Geospatial Data By Oliver Peckham July 28, 2021 For many computationally intensive tasks, exacting precision is not necessary for every step of the entire task to obtain a suitably precise result. The alternative is mixed-precision computing: using high precision where it matters, using low precision where it doesn’t as much. Now, a research team led by the King Abdullah University of Science and Technology (KAUST) has applied mixed-precision computing to drastically reduce the computational load of large geospatial dataset modeling. “For decades, model...
Source: hpcwire.com