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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 ...
The partnership combined with an investment from Snowflake Ventures offers advancements in simplicity, performance, scalability and the economic value of large-scale parallel computing Python data ...
March 4, 2022 — The Argonne Leadership Computing Facility (ALCF) will hold an online event on Wednesday, March 30 at 11 am Central Time as part of its Aurora Early Adopter Series – Praveen Kundurthy, ...
Dask, a Python library for parallel computing, mimics the upstream Python APIs and works with CUDA libraries for parallel computation. Think of Dask as Spark for Python.
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 ...
The introduction of graphics processing units (GPUs) for general-purpose computing is perhaps the most important recent development for computing, and if you want to develop some new Python skills ...
Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...
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Researchers develop Python code for in-memory computing - MSN
Software for in-memory computing is now being developed. Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory ...
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