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cudf
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wmalpica
commented
Mar 18, 2021
We no longer need to control the number of concurrent kernels, since now we control the number of concurrent tasks
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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GPU accelerated cross filtering with cuDF.
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Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
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The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
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Rapidsai_Machine_learnring_on_GPU
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Awesome list of alternative dataframe libraries in Python.
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Based on @karthikeyann's work on this PR rapidsai/cudf#9767 I'm wondering if it makes sense to consider removing the defaults for the
streamparameters in various detail functions. It is pretty surprising how often these are getting missed.The most common case seems to be in factory functions and various
::createfunctions. Maybe just do it for those?