In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...
AUSTIN, Texas, June 7, 2022 /PRNewswire/ -- Dask, an open-source Python-native parallel computing library, has announced its latest rebrand. Dask's rebranding includes a new visual style throughout ...
As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...
OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from aerospace to AI, it lets developers tap into multicore and GPU performance with ...
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Stop crashing your Python scripts: How Zarr handles massive arrays
Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Over at the Cray Blog, Brad Chamberlain writes that the Chapel programming language is designed specifically for large-scale parallel computing. I believe programmers have never had a decent ...
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