About Dask: Dask is an open-source Python parallel computing library. With Dask, Python code can be scaled from multi-core local machines to large distributed clusters in the cloud.

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

This course addresses scientists with a working knowledge of NumPy who wish to explore the productivity gains made possible by Python for HPC. "We will show how Python can be used on parallel ...

This type of parallel code is restricted to the size of the machine that you can build. To bypass this restriction, you can use message-passing parallel code. In this form, independent execution units ...

The Copperhead compiler suite, a Python-based tool, unlocks the full potential of the Gemini APU's impressive capabilities, including its associative, massively parallel, non-Von-Neumann bit ...

As a result, Python programmers can write the same way they write for conventional computers and don't need to adapt their writing style for in-memory computing.

NORTON, Mass.--(BUSINESS WIRE)--Measurement Computing Corporation (MCC) today announced the release of Python support for MCC DAQ devices. Python is a powerful object-oriented programming language ...

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 ...