[scikit-learn] Using GPU in scikit learn
Andreas Mueller
t3kcit at gmail.com
Tue Aug 21 09:05:09 EDT 2018
My lab had a GPU library for Random Forests on Images.
It was pretty fast but probably needs some updates:
https://github.com/deeplearningais/curfil
On 8/8/18 10:01 PM, Tommy Tracy wrote:
> Dear Ta Hoang,
>
> Accelerating decision tree ensembles (including Random Forest) is
> actually a current area of computer architecture research; in fact it
> is a principle component of my dissertation. Like Sebastian Raschka
> said, the GPU is not an ideal architecture for decision tree inference
> because at its core it is a pointer-chasing algorithm (low computation
> per memory access) that shows low memory locality. Scikit-Learn has
> done an excellent job with their von Neumann implementation utilizing
> things like predication and vectorization. If you're looking to go
> beyond what the CPU can give you, I would point you to FPGAs. If
> you're interested in discussing this further, let me know.
>
> --
> --
> Sincerely,
> Tommy James Tracy II
> Ph.D Candidate
> Computer Engineering
> UniversityofVirginia
>
>
> On Wed, Aug 8, 2018 at 8:50 PM, hoang trung Ta <tahoangtrung at gmail.com
> <mailto:tahoangtrung at gmail.com>> wrote:
>
> Dear all members,
>
> I am using Random forest for classification satellite images. I
> have a bunch of images, thus the processing is quite slow. I
> searched on the Internet and they said that GPU can accelerate the
> process.
>
> I have GPU NDVIA Geforce GTX 1080 Ti installed in the computer
>
> Do you know how to use GPU in Scikit learn, I mean the packages to
> use and sample code that used GPU in random forest classification?
>
> Thank you very much
>
> --
> *Ta Hoang Trung (Mr)*
> *
> *
> /Master student/
> Graduate School of Life and Environmental Sciences
> University of Tsukuba, Japan
>
> Mobile: +81 70 3846 2993
> Email : ta.hoang-trung.xm at alumni.tsukuba.ac.jp
> <mailto:ta.hoang-trung.xm at alumni.tsukuba.ac.jp>
> tahoangtrung at gmail.com <mailto:tahoangtrung at gmail.com>
> s1626066 at u.tsukuba.ac.jp <mailto:s1626066 at u.tsukuba.ac.jp>
> *----
> *
> /Mapping Technician/
> Department of Surveying and Mapping Vietnam
> No 2, Dang Thuy Tram street, Hanoi, Viet Nam
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