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dpctl reviews and mentions
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Data Parallel Extensions for Python: near-native speed for scientific computing
Considering how poorly it seems to support cuda as a backend [0], I wouldn't hold my breath about non intel vendor support (amd cpu or gpu). As for less common gpus, there really is no good support in any library. If you ever want to go down a fun rabbit hole, try to use the gpu in a raspberry pi for something. You'll eventually find one guy who reverse engineered the drivers to make a compiler but that's it.
[0] https://github.com/IntelPython/dpctl/discussions/1124
Stats
IntelPython/dpctl is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of dpctl is C++.
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