cufinufft
Nonuniform fast Fourier transforms of types 1 and 2, in 1D, 2D, and 3D, on the GPU (by flatironinstitute)
Benchmarks
ECP-CANDLE Benchmarks (by ECP-CANDLE)
| cufinufft | Benchmarks | |
|---|---|---|
| 1 | 1 | |
| 81 | 56 | |
| - | - | |
| 5.5 | 0.0 | |
| 5 months ago | 5 months ago | |
| Cuda | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cufinufft
Posts with mentions or reviews of cufinufft.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-31.
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AMD powers the most powerful supercomputer
I'm surprised you're not using HIP? At least in my experience it seems like HIP is the go-to system for programming the AMD GPUs, in large part because of CUDA compatibility. You can mostly get things to work with a one-line header change [1].
(I work for a DOE lab but views are my own, etc.)
[1] As an example, see the approach in: https://github.com/flatironinstitute/cufinufft/pull/116
Benchmarks
Posts with mentions or reviews of Benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-31.
-
AMD powers the most powerful supercomputer
Yes, DOE is very interested in DL. I don't work on this personally, but you can see an example e.g. here [1, 2]. You can see in the first link they're using Keras. I'm not up to date on all the details (again, don't work on this personally) but in general the project is commissioned to run on all of DOE's upcoming supercomputers, including Frontier.
[1]: https://github.com/ECP-CANDLE/Benchmarks
[2]: https://www.exascaleproject.org/research-project/candle/