The recommended GPUs thread http://www.gpugrid.net/forum_thread.php?id=2507 says:

The GT1030 should also work but is below entry level & might not finish some work fast enough.

That thread needs an update .
____________

I also finished a long run work unit with a GT1030 last week (see below in n° 3).
And other long run work units with other old GPUs like a GT710, a GT730 and a GTX745:

I must point to these 2 factors though which could have badly affected the performance of these GPUs:
- The computers below were doing 'Mapping Cancer Markers' CPU units at the same time.
- The computers all have different CPUs from different generations.

1) I even had a GT710 (with slow DDR3 RAM) finishing a long work unit in time. :-)
See
http://www.gpugrid.net/result.php?resultid=21484300
CPU = AMD A8-9600 (4-core Bristol Ridge generation)

It finished it in about 116 hours,
which is less than the 5-day deadline.
But it means you need to let it run almost 24/7 to meet the deadline.

That is why I continue to be in favor of GPUGRID offering short run work units for people with entry level graphics cards.

2) This one was done with a lightly more powerful GT730 (also with slow DDR3 RAM):
http://www.gpugrid.net/result.php?resultid=21483644
This one finished in about 103 hours.
CPU = Core i5-8400 (8-core Coffee Lake generation)

3) And this one was done by another GT1030: (with faster DDR5 RAM)
http://www.gpugrid.net/result.php?resultid=21482039
It finished the job in about 34 hours.
CPU = Celeron E3300 (2-core Wolfdale generation)

4) And this one was done with a Geforce GTX745 (with slow DDR3 but on a 128-bit bus):
http://www.gpugrid.net/result.php?resultid=21483567
It finished the job in about 44 hours.
CPU = AMD FX-4320 (4-core Piledriver generation)

As you can see, all these old gpus can do long run work units and meet the deadline.
But as I said: It would be wiser of GPUGRID to continue to provide some kind of small work units so that people don't have to let their PC run 24/7, which most people are NOT prepared to do.
Milkyway (my backup project) has work units for example which even an old GT710 can finish in about 45 minutes. It even runs well on an integrated Intel GPU (OpenCl).
I am not saying you should make such TINY work units as well, but the short runs from the past were a very good idea to keep everybody on board. :-)

Hope you like these stats.
Enjoy;
Carl

A little correction:

I stated that my Core i5-8400 is an 8-core cpu.
That is not correct.
It is a 6-core cpu.
6-core, 6-thread.
My mistake. :-)

Cheers;
Carl

Hope you like these stats.

<cc_config>
<options>
<report_results_immediately>1</report_results_immediately>
</options>
</cc_config>

09/11/2019 20:39:57 | | Config: report completed tasks immediately

You have to keep in mind that the present long workunits are short according to their definition: "8-12 hours on fastest card". The fastest card which is working at the moment with the present GPUGrid app is the GTX 1080 Ti (and the Titan Xp), which can finish the longest of the present long workunits in 4 hours and 30 minutes. That means the long workunits (according to their definition) could be twice to almost three times longer. If the new app would be released, the fastest card would be the RTX 2080 Ti, which is about 40% faster than the GTX 1080 Ti, that would make definition of the long workunits that much longer.
In short: don't expect that these low-end cards will finish future long workunits within the 5 days deadline.

In short: don't expect that these low-end cards will finish future long workunits within the 5 days deadline.

I've never seen MCM1 interfere with with GPUGRID WUs. Now MIP1 has a major flaw in managing its L3 Cache and requires 5 MB of L3 Cache per WU. If you exceed that your entire CPU work flow slows by over 60%. ARP1 has a serious checkpoint reset bug.
Asteroids is nice since they produce CUDA55 WUs and only need 0.01 CPU per WU.
____________

That is why I keep saying that the project should try to keep sending out short work units as well to keep the maximum number of volunteers on board.
Even if they have a slow GPU today, someday they will buy a new GPU.
So it is important to try to keep them aboard in the meantime.
Or by the day that they DO buy a new GPU, maybe they will have moved onto other projects which DO provide short work units for their slow GPUs of today (like Einstein, Milkyway and others).

Just wondering: Does anyone know if CPU work is dead at this project? For the time being?

Sincerely, I miss past GPUGrid milestones.
It is evident by taking a look to following thread:

http://www.gpugrid.net/forum_thread.php?id=4880&nowrap=true#52130

Thx for the information! :-)

The GT1030 should also work but is below entry level & might not finish some work fast enough.

so I thought I'd give it a try, and I was successful. The result is here http://www.gpugrid.net/result.php?resultid=21466370. It took 36.23 hours, but hey, it was a cheap card, OK? Anyway, I just thought I'd confirm that for anyone else wondering.

I was successful... It took 36.23 hours

The fastest card which is working at the moment with the present GPUGrid app is the GTX 1080 Ti (and the Titan Xp), which can finish the longest of the present long workunits in 4 hours and 30 minutes.

GT 1030 — yes, it does work.