AMD powers the most powerful supercomputer

• Benchmarks

  1 56 0.0 Python

  ECP-CANDLE Benchmarks (by ECP-CANDLE)

  

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/

• cufinufft

  1 81 5.5 Cuda

  Nonuniform fast Fourier transforms of types 1 and 2, in 1D, 2D, and 3D, on the GPU

  

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

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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