  Convolutional gridding is a processor-intensive step in interferometric
imaging. While it is possible to use graphics processing units (GPUs) to
accelerate this operation, existing methods use only a fraction of the
available flops. We apply thread coarsening to improve the efficiency of an
existing algorithm, and observe performance gains of up to $3.2\times$ for
single-polarization gridding and $1.9\times$ for quad-polarization gridding on
a GeForce GTX 980, and smaller but still significant gains on a Radeon R9 290X.
