oneAPI-samples
dpctl
oneAPI-samples | dpctl | |
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1 | 1 | |
850 | 95 | |
3.1% | - | |
9.6 | 9.8 | |
1 day ago | about 1 hour ago | |
C++ | C++ | |
MIT License | Apache License 2.0 |
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oneAPI-samples
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For those interested in learning how to build a Language Identification solution using PyTorch, check out my article.
Link to code sample: https://github.com/oneapi-src/oneAPI-samples/tree/master/AI-and-Analytics/End-to-end-Workloads/LanguageIdentification
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?
dockerdl - Deep Learning Docker Image
dpbench - Benchmark suite to evaluate Data Parallel Extensions for Python
ai-typescript-check - REST API for TypeScript linting and type/error checking, leveraging TypeScript TwoSlash for enhanced code analysis. Available as standalone API and even better as a ChatGPT plugin.
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
Open3D - Open3D: A Modern Library for 3D Data Processing
dpnp - Data Parallel Extension for NumPy
sagemaker-distribution - A set of Docker images that include popular frameworks for machine learning, data science and visualization.
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
ML-Workspace - š All-in-one web-based IDE specialized for machine learning and data science.
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!
pytorch-fortran - Pytorch bindings for Fortran
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends