dpnp
dpctl
dpnp | dpctl | |
---|---|---|
1 | 1 | |
91 | 94 | |
- | - | |
9.5 | 9.8 | |
4 days ago | 4 days ago | |
Python | C++ | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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dpnp
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Tracking mentions began in Dec 2020.
dpctl
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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
What are some alternatives?
numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.
dpbench - Benchmark suite to evaluate Data Parallel Extensions for Python
cupy - NumPy & SciPy for GPU
oneAPI-samples - Samples for Intel® oneAPI Toolkits
sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
matchering - 🎚️ Open Source Audio Matching and Mastering
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends