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Title: Data Parallel Extensions for Python — Data Parallel Extensions for Python* 0.1 documentation

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https://intelpython.github.io/DPEP/pull/other_intel_python_projects.html
https://intelpython.github.io/DPEP/pull/45
https://intelpython.github.io/DPEP/pull/examples.html
https://community.intel.com/t5/Intel-Distribution-for-Python/bd-p/distribution-python
https://github.com/IntelPython/DPEP
next » https://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html
Data Parallel Extensions for Python* 0.1 documentationhttps://intelpython.github.io/DPEP/pull/45
https://intelpython.github.io/DPEP/pull/_images/DPEP-large.png
https://intelpython.github.io/DPEP/pull/45#data-parallel-extensions-for-python
Numpy*https://numpy.org/
Numba*https://numba.pydata.org/
Python* Array API Standardhttps://data-apis.org/array-api/
https://intelpython.github.io/DPEP/pull/45#table-of-contents
Prerequisites and Installationhttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html
1. Device Drivershttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html#device-drivers
2. Python Interpreterhttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html#python-interpreter
3. Data Parallel Extensions for Pythonhttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html#data-parallel-extensions-for-python
Parallelism in Modern Data-Parallel Architectureshttps://intelpython.github.io/DPEP/pull/parallelism.html
Heterogeneous Computinghttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html
Device Offloadhttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html#device-offload
Unified Shared Memoryhttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html#unified-shared-memory
Compute-Follows-Datahttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html#compute-follows-data
Copying Data Between Devices and Queueshttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html#copying-data-between-devices-and-queues
Creating Additional Queueshttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html#creating-additional-queues
Programming with Data Parallel Extensions for Pythonhttps://intelpython.github.io/DPEP/pull/programming_dpep.html
Scalars vs. 0-Dimensional Arrayshttps://intelpython.github.io/DPEP/pull/programming_dpep.html#scalars-vs-0-dimensional-arrays
Data Parallel Extension for Numpy - dpnphttps://intelpython.github.io/DPEP/pull/programming_dpep.html#data-parallel-extension-for-numpy-dpnp
Data Parallel Extension for Numba - numba-dpexhttps://intelpython.github.io/DPEP/pull/programming_dpep.html#data-parallel-extension-for-numba-numba-dpex
Data Parallel Control - dpctlhttps://intelpython.github.io/DPEP/pull/programming_dpep.html#data-parallel-control-dpctl
Debugging and Profiling Data Parallel Extensions for Pythonhttps://intelpython.github.io/DPEP/pull/programming_dpep.html#debugging-and-profiling-data-parallel-extensions-for-python
Writing Robust Numerical Codes for Heterogeneous Computinghttps://intelpython.github.io/DPEP/pull/programming_dpep.html#writing-robust-numerical-codes-for-heterogeneous-computing
Exampleshttps://intelpython.github.io/DPEP/pull/examples.html
Tutorialshttps://intelpython.github.io/DPEP/pull/jupyter_notebook.html
Getting Startedhttps://intelpython.github.io/DPEP/pull/notebooks/01-get_started.html
Controlling `dpnp` fallback to `numpy`https://intelpython.github.io/DPEP/pull/notebooks/02-dpnp_numpy_fallback.html
Examples with performance using Mandelbrot calculationhttps://intelpython.github.io/DPEP/pull/notebooks/03-mandelbrot_perfomance.html
Benchmarkshttps://intelpython.github.io/DPEP/pull/benchmarks.html
Demoshttps://intelpython.github.io/DPEP/pull/demos.html
Useful linkshttps://intelpython.github.io/DPEP/pull/useful_links.html
To-Dohttps://intelpython.github.io/DPEP/pull/useful_links.html#to-do
Prerequisites and Installationhttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html
Parallelism in Modern Data-Parallel Architectureshttps://intelpython.github.io/DPEP/pull/parallelism.html
Heterogeneous Computinghttps://intelpython.github.io/DPEP/pull/heterogeneous_computing.html
Programming with Data Parallel Extensions for Pythonhttps://intelpython.github.io/DPEP/pull/programming_dpep.html
Exampleshttps://intelpython.github.io/DPEP/pull/examples.html
Tutorialshttps://intelpython.github.io/DPEP/pull/jupyter_notebook.html
Benchmarkshttps://intelpython.github.io/DPEP/pull/benchmarks.html
Demoshttps://intelpython.github.io/DPEP/pull/demos.html
Useful linkshttps://intelpython.github.io/DPEP/pull/useful_links.html
To-Dohttps://intelpython.github.io/DPEP/pull/useful_links.html#to-do
Prerequisites and Installationhttps://intelpython.github.io/DPEP/pull/prerequisites_and_installation.html
Back to Tophttps://intelpython.github.io/DPEP/pull/45
Sphinxhttp://www.sphinx-doc.org/en/stable/

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