Executive Summary A team from the King Abdullah University of Science and Technology (KAUST) attended the GPU training organized by the KAUST Supercomputing Lab (KSL), NVIDIA and Appentra to learn how to improve the performance of their “maxvol” software for 5G wireless networks using GPUs. In 5G networks the base station can send data to […]
parallelization
Parallelizing a shallow-water flow model with variable pressure
Executive Summary A team from the University of Malaga, Spain, attended the second Appentra-led hackathon, CESGAHACK-18 and made use of Appentra’s unique parallelization methodology to parallelize their shallow-water model that models salinity concentrations and temperature to understand natural flows. The model uses a computational approach that is faster than the direct simulation of flows using […]
