HOholstvoogd·Jan 27, 2020
Potgresql has some GPU (&nvme) support already through an extension: https://github.com/heterodb/pg-strom
In Umbra: an ACID-compliant database built for in-memory analytics speedheterodb
pg-strom
C2015–2020
heterodb / pg-strom
pg-strom
PG-Strom - Master development repository
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11Mentions
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1.4KGitHub stars
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PG-Strom - Master development repository
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
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HN mentions by year11 dated mentions
Observed mentions: 2015-06-23 22:33:30 UTC to 2020-01-27 09:52:01 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 2 | 1 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 4 | 0 | 4 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
11 sourcespg-strom does that and more:
https://github.com/heterodb/pg-strom
It can be used to optimize things like counts and other aggregates over a standard postgres table, it also provides a foreign data wrapper column store to optimize certain analytical queries by greatly speeding up GPU transfers. Additionally it can use the GPU as a "co-processor" to do large amounts of row filtering before handing the final work off to the CPU.
In One SQL to Rule Them All: Management of Streams and TablesThere is also GPU support for PostgreSQL using an extension called pg-strom
https://github.com/heterodb/pg-strom
Not sure how it compares to this tool, but it uses a GPU to do both high density analytics, by loading data straight from disk to the gpu with dma avoiding the cpu entirely to do the work, or by using the GPU as a prefilter to remove lots of candidate rows and then letting the CPU do the core query on much fewer rows.
In BlazingSQL – GPU SQL Engine Now Runs Over 20X Faster Than Apache SparkDid someone say innovative database? PG-Strom with PostgreSQL under the hood (what else?) exists since over 4 years: https://github.com/heterodb/pg-strom
In AresDB: Uber’s GPU-Powered Open-Source, Real-Time Analytics EngineHow does it compare with pg-strom
( https://github.com/heterodb/pg-strom )?
In AresDB: Uber’s GPU-Powered Open-Source, Real-Time Analytics EnginePG-Strom: SSD-To-GPU Direct SQL Execution
124 points · Open discussionFor postgres checkout https://github.com/pg-strom/devel
In Alenka: GPU database engineLooks active at github, https://github.com/pg-strom/devel
In Baidu Takes FPGA Approach to Accelerating SQL at ScaleIt actually works with openCL. I had to do a few changes to make it work on MacOSX, but I beleive the language barrier and the fact that his project is in a flux and I came out of the blue caused these few lines to not merge. Please see my fork of his dev branch, that works with 9.5dev: https://github.com/pg-strom/devel/pull/144
correction: those changes to compile on macox did get pulled so https://github.com/pg-strom/devel should build with openCL on your mac to link with 9.5dev.
In PGStrom: GPU-accelerated PostgreSQLUnfortunately most of the discussion seems to be going down in Japanese.
That said if you don't mind just reading diffs you can get an idea of the state of the project by taking a gander at their github: https://github.com/pg-strom/devel
In PGStrom: GPU-accelerated PostgreSQLsimilar : PG-Strom (past=CUDA ; now=OpenCL)
"GPGPU Accelerates PostgreSQL"
slide: http://www.slideshare.net/kaigai/gpgpu-accelerates-postgresq... ( Dec 20, 2014 )
HN: https://news.ycombinator.com/item?id=8787414
and Open Source! https://github.com/pg-strom/devel
In MapD: Massive Throughput Database Queries with LLVM on GPUs