|From:||Kouhei Kaigai <kaigai(at)ak(dot)jp(dot)nec(dot)com>|
|To:||Joe Conway <mail(at)joeconway(dot)com>, Jim Nasby <Jim(dot)Nasby(at)BlueTreble(dot)com>, Ants Aasma <ants(dot)aasma(at)eesti(dot)ee>, Simon Riggs <simon(at)2ndquadrant(dot)com>|
|Subject:||Re: Does people favor to have matrix data type?|
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> -----Original Message-----
> From: Joe Conway [mailto:mail(at)joeconway(dot)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(at)postgresql(dot)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.
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.
NEC Business Creation Division / PG-Strom Project
KaiGai Kohei <kaigai(at)ak(dot)jp(dot)nec(dot)com>
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