On Wed, Nov 06, 2019 at 03:15:53PM -0800, Andres Freund wrote:
Hi,
On 2019-11-06 22:54:48 +0100, Tomas Vondra wrote:
If we're only talking about FPGA I/O acceleration, essentially FPGA
between the database and storage, it's likely possible to get that
working without any extensive executor chan
Hi,
On 2019-11-06 22:54:48 +0100, Tomas Vondra wrote:
> If we're only talking about FPGA I/O acceleration, essentially FPGA
> between the database and storage, it's likely possible to get that
> working without any extensive executor changes. Essentially create an
> FPGA-aware variant of SeqScan a
On Wed, Nov 06, 2019 at 11:01:37AM -0700, AJG wrote:
From what I have read and benchmarks seen..
FPGA shines for writes (and up to 3x (as opposed to 10x claim) real world
for queries from memory)
GPU shines/outperforms FPGA for reads. There is a very recent and
interesting academic paper[1] on
>From what I have read and benchmarks seen..
FPGA shines for writes (and up to 3x (as opposed to 10x claim) real world
for queries from memory)
GPU shines/outperforms FPGA for reads. There is a very recent and
interesting academic paper[1] on High Performance GPU B-Tree (vs lsm) and
the incredibl
Hi Thomas, you said:
For the record, this is not exactly a new thing. Netezza (a PostgreSQL
fork started in 1999 IBM) used FPGAs. Now there's swarm64 [1], another
PostgreSQL fork, also using FPGAs with newer PostgreSQL releases.
yes, I found the swarm thing on Google, and heard about Netezza y
On Mon, Nov 04, 2019 at 06:33:15PM -0500, Gunther wrote:
The time has come.
FPGA optimization is in the palm of our hands (literally a 2 TB 40
GB/s IO PostgreSQL server fits into less than a shoe box), and on
Amazon AWS F1 instances.
Some demos are beginning to exist: https://github.com
The time has come.
FPGA optimization is in the palm of our hands (literally a 2 TB 40 GB/s
IO PostgreSQL server fits into less than a shoe box), and on Amazon AWS
F1 instances.
Some demos are beginning to exist: https://github.com/Xilinx/data-analytics.
<https://github.com/Xilinx/d
