didn't you proudly proclaim that intel GPUs were "for office workers" and quantified as "bugger all"? why do you want to use the iGPU if "real men" only use discrete GPUs?

https://boinc.berkeley.edu/forum_thread.php?id=14600&postid=107543#107543
"Peter Hucker of the Scottish Boinc Team" wrote:

Pah! Built in graphics are for office workers. Real men use discrete GPUs.

buuuut cognitive dissonance aside, Einstein has intel GPU work for both their BRP4G (Arecibo "fast"/GPU) and FGRPB1G (windows only) campaigns.

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try again?

not sure what you're on about. their "gamma server" is not crashed. I've been getting gamma ray work all day.
https://einsteinathome.org/server_status.php
14,000+ tasks ready to send, all gamma ray services running fine.

if you're not getting BRP4G, it's due to a misconfiguration on your side.

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I was going to suggest Collatz, but that appears to unceremoniously departed the room.

I would hazard a guess as to why so few projects have bothered producing Igpu apps is their reluctance to invest resources on developing and testing an application for a device that many see (as you've so succinctly said) as being only really suited for office work.

They had gamma ray work unit generator “disabled” briefly, intentionally. That is not “crashed”. Work unit generation resumed about 10:30 UTC looking at the history.

BRP4/G is not available for AMD GPUs. It’s only ARM CPUs (BRP4), x86 CPUs and Intel GPUs (BRP4G). So checking for AMD GPU is pointless. Easy to see what applications are available for each device/OS if you check the applications page.

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Anyone know of projects that run on Intel GPUs?

In both https://boinc.berkeley.edu/projects.php and the equivalent list in BOINC Manager, it shows which projects run on what hardware. Look for the Intel logo in the list of GPUs. The list shows Windows (CPU), Mac (CPU), Linux (CPU), Android (CPU), Nvidia (GPU), Radeon (GPU), Intel (GPU). When you hover the mouse pointer over the Details link, it'll show you all platforms as well.

With that in mind, the following projects (whether they are online at the moment or not) support Intel GPUs: Collatz Conjecture, Einstein@Home, Minecraft@Home, Numberfields@Home.
And maybe some alpha and beta projects that aren't on the official BOINC list, as this only shows production projects if their admin reported their project ready for inclusion.

there will be a NEW project for BRP, "BRP7". this is a different search than the existing BRP4/G. they have no plans to port BRP4G to Nvidia/AMD, but that doesnt stop people from making their own nvidia app based on the public source code ;)

they are still working on the applications for BRP7, but it's not done yet.

it also appears that new work for gravitational wave O3AS has run out. the rts buffer has been very low consistently, and the tasks in progress continues to drop. this indicates that all the tasks going out are resends. not sure if/when more GW will be available.

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I take it you'll be doing that for your big Nvidias since gravity has vanished.

I don’t really run gravity wave tasks. And there is still 3-4 weeks of gamma ray left. The Einstein admins have estimated that they will have BRP7 apps by then. Backup options may or may not be in the works.

Will that work on any card, or only decent ones like gravity requires?

No idea. Depends what kind of computation they need to do I guess. Computationally they should be similar to the BRP4 search, which is quite old, so I would guess that it would probably work on a wide variety of devices. But you’ll just have to wait and see.

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Most Intel 9th gen or earlier CPUs have very lousy IGPs.
They crunch data about as fast as the CPU itself (have similar FLOPS performance), but increase the CPU TDP usage.
If your 9th gen (or older) intel CPU crunches at 100%, with a temp of 60-75C, adding the GPU to crunch at 100% will increase the temps to 90+C.
Not recommended.
Newer 11th and 12th gen Intel IGPs perform about as lousy as a GT 1030.
I would recommend to just spend some money on a GPU, and plug it in the system.
And forget about CPU crunching if PPD is what you care about. Even if you have the CPU available.
The amount of $$$ you'll waste a year running an Intel IGP (about $35/year/IGP) should easily allow you to buy a small GPU that will fold a lot faster for the same power usage.

Most Intel 9th gen or earlier CPUs have very lousy IGPs.
They crunch data about as fast as the CPU itself (have similar FLOPS performance), but increase the CPU TDP usage.
If your 9th gen (or older) intel CPU crunches at 100%, with a temp of 60-75C, adding the GPU to crunch at 100% will increase the temps to 90+C.
Not recommended.
Newer 11th and 12th gen Intel IGPs perform about as lousy as a GT 1030.
I would recommend to just spend some money on a GPU, and plug it in the system.
And forget about CPU crunching if PPD is what you care about. Even if you have the CPU available.
The amount of $$$ you'll waste a year running an Intel IGP (about $35/year/IGP) should easily allow you to buy a small GPU that will fold a lot faster for the same power usage.

I get 5x speed from my i5 8600K's GPU+1core doing an Einstein Gamma than I would just using the core, so it's like having 10 cores on a 6 core CPU. Might aswell use all parts of the chip at once. Extra cooling is easy enough, I stuck a larger heatsink on it and used SYY thermal paste, it's running at 80C in a 19C room. With the stock cooler and provided transfer compound, it was bouncing off the 100C limiter. 80C is my preferred limit for everything, 90C if I have to. Higher than that errors and crashing occur.

Too bad prices of GPUs are still high.
Before the shortage, you could easily snatch a GT1030, GTX1050, or 1060 from $50 to $150, which would net you A LOT more PPD than any CPU at the time could (take note, the Ryzen 1000 series were still very uncommon.