Re: Does people favor to have matrix data type?

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От Kouhei Kaigai
Тема Re: Does people favor to have matrix data type?
Дата
Msg-id 9A28C8860F777E439AA12E8AEA7694F8011F6586@BPXM15GP.gisp.nec.co.jp
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Ответ на Re: Does people favor to have matrix data type?  (Joe Conway <mail@joeconway.com>)
Ответы Re: Does people favor to have matrix data type?  (Joe Conway <mail@joeconway.com>)
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> -----Original Message-----
> From: Joe Conway [mailto:mail@joeconway.com]
> Sent: Sunday, May 29, 2016 1:40 AM
> To: Kaigai Kouhei(海外 浩平); Jim Nasby; Ants Aasma; Simon Riggs
> Cc: pgsql-hackers@postgresql.org
> Subject: Re: [HACKERS] Does people favor to have matrix data type?
> 
> On 05/28/2016 07:12 AM, Kouhei Kaigai wrote:
> > Sparse matrix! It is a disadvantaged area for the current array format.
> >
> > I have two ideas. HPC folks often split a large matrix into multiple
> > grid. A grid is typically up to 1024x1024 matrix, for example.
> > If a grid is consists of all zero elements, it is obvious we don't need
> > to have individual elements on the grid.
> > One other idea is compression. If most of matrix is zero, it is an ideal
> > data for compression, and it is easy to reconstruct only when calculation.
> >
> >> Related to this, Tom has mentioned in the past that perhaps we should
> >> support abstract use of the [] construct. Currently point finds a way to
> >> make use of [], but I think that's actually coded into the grammar.
> >>
> > Yep, if we consider 2D-array is matrix, no special enhancement is needed
> > to use []. However, I'm inclined to have own data structure for matrix
> > to present the sparse matrix.
> 
> +1 I'm sure this would be useful for PL/R as well.
> 
> Joe
>
It is pretty good idea to combine PL/R and PL/CUDA (what I'm now working)
for advanced analytics. We will be able to off-load heavy computing portion
to GPU, then also utilize various R functions inside database.

Thanks,
--
NEC Business Creation Division / PG-Strom Project
KaiGai Kohei <kaigai@ak.jp.nec.com>

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