I suppose that NF is FP64-intense which is not friendly to NVIDIA cards. Am I right?

Yes. I see about 8x speedup on 4060 Laptop than the CPU when running 3 tasks in parallel, but with 60W power consumption. When on CPU, it only consumes 25W with 16 tasks in parallel. That's awkward because heterogeneous computing normally increases power efficiency by nearly a magnitude.

Besides, I don't see any energy efficiency increase when switching to GPU as expected. Is that normal?

Also I did a little Paint.net work using layers to make the Galois Field badges much easier to distinguish apart at as low as 10% scale of the original size.

If you wish to use these, and I hope you do - feel free!

As title. How can i earn septic count and ℚ(√-10) count?

I have had 3 tasks fail after between 12 and 14 hours with the following error:
Exit status 198 (0x000000C6) EXIT_MEM_LIMIT_EXCEEDED

The tasks are https://numberfields.asu.edu/NumberFields/result.php?resultid=204294692, https://numberfields.asu.edu/NumberFields/result.php?resultid=204294798 and https://numberfields.asu.edu/NumberFields/result.php?resultid=204294071

Part of Stderr Output gives:

<core_client_version>7.24.1</core_client_version>
<![CDATA[
<message>
working set size > client RAM limit: 16385.39MB > 16309.76MB</message>
<stderr_txt>
GPU Summary String = [INTEL|Intel(R)HDGraphics4600|1|1629MB||102].
Loading GPU lookup table from file.
GPU was not found in the lookup table. Using default values:
numBlocks = 1024.
threadsPerBlock = 32.
polyBufferSize = 32768.


Unhandled Exception Detected...

- Unhandled Exception Record -
Reason: Breakpoint Encountered (0x80000003) at address 0x00007ffe3287b892

Engaging BOINC Windows Runtime Debugger...

From these messages I understand that the tasks are running out of GPU memory.
Is there any way to reduce the amount of memory being used?

Thanks, Ruud

Pardon me for the impertinence, but I may have a better solution for the GPU problems that this project is hampered by:

*Expand the number of GPUs in the file your project supplies! (gpuLookupTable_v402.txt)*

      GPU Name      |   numBlocks   |  threadsPerBlock
==========================================================
     GTX 1050       |      9600     |       32
     GTX 1050 Ti    |      9600     |       32
     GTX 1660       |      8192     |       32
      RX 570        |      2048     |       64
     GTX 1070       |      9600     |       32

is a bit meagre, don't you think?
There's whole generations of GPUs (and IGPs) that do not get mentioned, and the default values don't work for all those. Editing the file does not work, even when you have a line in the cc_config.xml preventing the check for changed files -at least not in my BOINC client version. It looks like the file gets overwritten at times too, because I have made the change several times -to no avail.

I tried the solution

If it is truly a resource problem, you could try adding the following line to the gpuLookupTable file in your projects directory:

UHD Graphics 605     |     256     |      8

but it had no effect whatsoever -it still can't find the GPU in a certain table, apparently not the one in my drictory. I made my hosts visible now, so you can see more yourself.

I noticed on the batch status page the sf6-DS-12x9 has been marked completed. However, I am still getting a few of these tasks from time to time. Do you still need these tasks? If not, I would rather abort them and work on tasks that are needed.

Thinking about this, there are only two options: Anonymous platform or removing signature and its requirement from gpuLookupTable.txt. Both require changing server-side settings. (I don't like downgrading BOINC for too many versions.)

<verify_files_on_app_start/>
    Before starting or restarting an app, check contents of input files and app version files by either MD5 or digital signature check. Detects user tampering with file (but doesn't really increase security, since user could also change MD5s or signatures in client state file). 

Have either of you considered using the configuration option

<dont_check_file_sizes>0|1</dont_check_file_sizes>
Normally, the size of application and input files are compared with the project-supplied values after the files are downloaded, and just before starting an application. If this flag is set, this check is skipped. Use it if you need to modify files locally for some reason.

(details in the User manual)

Sorry for the dumb question, but are we thinking this is a BOINC problem with the newer version or an error with the hardware producer itself?

Project doesn't follow the Computing Preferences I set the "days of work at":

Store at least 1 days of work
Store up to an additional 0.1 days of work

When I update the Computer I keep getting:

SagerNP8872T-S

2344 8/9/2023 1:26:40 PM - Store at least 2.00 days of work
2345 8/9/2023 1:26:40 PM - Store up to an additional 1.00 days of work

https://signature.statseb.fr/sig-1323.png

This experiment is unlikely to work. Apparently BOINC gets somewhat confused, deletes/resets file as corrupted, while somehow erroring out all GPU tasks by failing to copy over either version of file.

Maybe anonymous platform might provide a way to test this, but I haven't yet used it.

ETA: It looks like it affects only newer versions. One of my computers is still on version 7.16.20 and modification works, while all others are on 7.22.2 and failed.

I have seen the "Out of Resources" error when there is not enough RAM. Your card appears to have enough RAM, but is it possible something else could be using up the memory? Internet browsers are notorious for using huge amounts of GPU RAM.

The system is dedicated to running BOINC -various projects- on all the four cores of the Pentium J5005 at the same time.

But in general I think the UHD 605 should be capable of running the NumberFields OpenCL app. I am basing that on the following list of hosts that have successfully returned results:

[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 600|1|3021MB||300][opencl_gpu|Intel(R) UHD Graphics 600|1|3776MB|102]
[BOINC|7.20.2][INTEL|Intel(R) Iris(R) Xe Graphics|1|6427MB||300][vbox|6.1.34|0|1]
[BOINC|7.20.5][INTEL|Intel(R) Iris(R) Plus Graphics 655 [0x3ea5]|1|25565MB||300]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 630|1|6488MB||201][vbox|6.1.34|1|1]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 630|1|6415MB||300][vbox|7.0.10|0|1]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 620|1|1590MB||201]
[BOINC|7.16.20][INTEL|Intel(R) HD Graphics 530|1|6507MB||300]
[BOINC|7.20.5][INTEL|Intel(R) UHD Graphics [0x4e55]|1|3276MB||300]

I couldn't find your host in the database. Is it windows or linux?

Manjaro Linux

UHD Graphics 605     |     256     |      8

Eric

I am experimenting with an Intel GPU on Computer 2807553. It is a INTEL Intel(R) HD Graphics 4600 (1629MB) OpenCL: 1.2

Running on Operating System Microsoft Windows 10 Professional x64 Edition, (10.00.19045.00)
BOINC version 7.22.2

It is running a whole lot slower than a non-GPU task Get Decic Fields v4.00 (default) windows_x86_64

Is the GPU application processing a bigger chunk of data or is the GPU not efficient enough to run the GPU task types ?

Thanks
Bill F

Updated the driver, error occurs later now
<stderr_txt>
<core_client_version>7.22.1</core_client_version>
<![CDATA[
<message>
process exited with code 1 (0x1, -255)</message>
<stderr_txt>
GPU Summary String = [INTEL|Intel(R)UHDGraphics605|1|3276MB||300].
Loading GPU lookup table from file.
GPU was not found in the lookup table. Using default values:
numBlocks = 1024.
threadsPerBlock = 32.
polyBufferSize = 32768.
Successfully Built Program.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantInit.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB8.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantMpInit.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB7DegA9.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB7DegA8.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB6DegA9.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB6DegA8.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB6DegA7.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB5.
Successfully Created Stage 1 Kernel: pdtKernelSubResultantDegB4.

Successfully Created Stage 2 Kernel: pdtKernelDiv2.
Successfully Created Stage 2 Kernel: pdtKernelDiv5.
Successfully Created Stage 2 Kernel: pdtKernelDivP.

Successfully Created Stage 3 Kernel.

Successfully Created Polynomial Memory Buffer.
Successfully Created Output Flag Memory Buffer.
Successfully Created Discriminant Data Buffer.
Successfully Created PolyA Data Buffer.
Successfully Created PolyB Data Buffer.
Successfully Created DegA Data Buffer.
Successfully Created DegB Data Buffer.
Successfully Created G Data Buffer.
Successfully Created H Data Buffer.
Successfully Created mpA Data Buffer.
Successfully Created mpB Data Buffer.

OpenCL initialization was successful.
CHECKPOINT_FILE = wu_sf6_DS-12x9_Grp49971of128000_checkpoint.
Checkpoint Flag = 0.
Reading file ../../projects/numberfields.asu.edu_NumberFields/sf6_DS-12x9_Grp49971of128000.dat
K = x^2 - 10
S = [2, 5]
Disc Bound = 800000000000
Skip = (P^3)*(Q^5)
Num Congruences = 10
SCALE = 1.000000
|dK| = 40
Signature = [2,0]
Opening output file ../../projects/numberfields.asu.edu_NumberFields/wu_sf6_DS-12x9_Grp49971of128000_0_r611689789_0
Now starting the targeted Martinet search:
Num Cvecs = 10.
Doing Cvec 1.
File polDiscTest_gpuOpenCL.cpp, Line 201: Error: Failed to Enqueue Kernel pdtKernelSubResultantMpInit. clEnqueueNDRangeKernel returned CL_OUT_OF_RESOURCES
polDisc Test had an error. Aborting.
</stderr_txt>

Techpowerup has the UHD 605 as
The UHD Graphics 605 Mobile is a mobile integrated graphics solution by Intel, launched on December 11th, 2017. Built on the 14 nm process, and based on the Gemini Lake GT1.5 graphics processor, the device supports DirectX 12. This ensures that all modern games will run on UHD Graphics 605 Mobile. It features 144 shading units, 18 texture mapping units, and 3 ROPs. The GPU is operating at a frequency of 200 MHz, which can be boosted up to 750 MHz.
Its power draw is rated at 5 W maximum.

[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 600|1|3021MB||300][opencl_gpu|Intel(R) UHD Graphics 600|1|3776MB|102]
[BOINC|7.20.2][INTEL|Intel(R) Iris(R) Xe Graphics|1|6427MB||300][vbox|6.1.34|0|1]
[BOINC|7.20.5][INTEL|Intel(R) Iris(R) Plus Graphics 655 [0x3ea5]|1|25565MB||300]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 630|1|6488MB||201][vbox|6.1.34|1|1]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 630|1|6415MB||300][vbox|7.0.10|0|1]
[BOINC|7.22.2][INTEL|Intel(R) UHD Graphics 620|1|1590MB||201]
[BOINC|7.16.20][INTEL|Intel(R) HD Graphics 530|1|6507MB||300]
[BOINC|7.20.5][INTEL|Intel(R) UHD Graphics [0x4e55]|1|3276MB||300]