cufinufft
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Nonuniform fast Fourier transforms of types 1 and 2, in 1D, 2D, and 3D, on the GPU
Added the precomputed sigma=1.25 kernel options for #136
Dear all, I was testing `cufinufft` via the Python wrapper on some 3d problems, and I stumbled upon some accuracy issues when performing the adjoint test. That is, given the...
Per @ahbarnett in #126: > Any Py-based timing tests, that match a C++-based test like Melody just did, would be amazing to add to the Py tests dir, and would...
As discussed in #121, the new version of NumPy only releases binary wheels for manylinux2014, while our CI (and our releases) are for manylinux2010 for now. This is currently resolved...
This is a bit of a strange error, so I will need to unpack a little here: For some inputs, the type 2 3D NUFFT implemented in cufinufft is giving...
How far do we want to go with this? I don't know if it's worth it to have a full-fledged site lite for Finufft, but something more substantial (like a...
So if I've understood correctly, the reason we can't perform SM in 3D with doubles (at high precision) is that the 3D box won't fit. In other words, for 12...
As it stands now, the way we are setting (and restoring) the gpu device id, we are always clobbering any local device contexts with the primary context. This is because...
Is it possible to use cufinufft in Julia at the moment? If not, will a Julia package be available in the future?
Longer term, I think it would be good if we could naively use multi gpu in an embarrassingly parallel way. That is, cufinufft keeps the responsibility of managing device choice...