I was comparing to a default Windows Get Decic Fields v4.00 (default)windows_x86_64

You may have a point about Driver or implementation

Bill F

The GPU apps should be faster than the default CPU app. However, some of the older cards can be slower, if they work at all.

No FP64 on the ARC A750/770
Drivers are pretty recent too, only 1 major and 1 beta version since release

run times are between 20 and 30mn /WU
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp417381of6553600_0 00:24:48 (00:20:20) 11/10/2022 9:29:24 PM 11/10/2022 9:30:01 PM 0,995C + 1INT 81,99 Reported: OK + ARC A750 2362.73 MB 682.42 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426185of6553600_0 00:23:36 (00:21:32) 11/10/2022 9:53:02 PM 11/10/2022 9:53:41 PM 0,995C + 1INT 91,24 Reported: OK + ARC A750 2365.84 MB 618.60 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426029of6553600_0 00:26:44 (00:20:41) 11/10/2022 10:19:47 PM 11/10/2022 10:21:02 PM 0,995C + 1INT 77,37 Reported: OK + ARC A750 2416.98 MB 667.86 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425156of6553600_0 00:20:02 (00:18:14) 11/10/2022 10:39:52 PM 11/10/2022 10:41:43 PM 0,995C + 1INT 91,01 Reported: OK + ARC A750 2300.23 MB 681.29 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424288of6553600_0 00:24:38 (00:23:26) 11/10/2022 11:09:53 PM 11/10/2022 11:11:43 PM 0,995C + 1INT 95,13 Reported: OK + ARC A750 2403.16 MB 656.09 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424567of6553600_0 00:25:21 (00:24:47) 11/10/2022 11:35:15 PM 11/10/2022 11:35:43 PM 0,995C + 1INT 97,76 Reported: OK + ARC A750 2457.13 MB 707.93 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp422821of6553600_0 00:16:57 (00:16:35) 11/10/2022 11:52:14 PM 11/10/2022 11:53:43 PM 0,995C + 1INT 97,84 Reported: OK + ARC A750 2221.64 MB 476.84 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425427of6553600_0 00:22:51 (00:22:23) 11/11/2022 12:15:07 AM 11/11/2022 12:17:43 AM 0,995C + 1INT 97,96 Reported: OK + ARC A750 2390.39 MB 644.11 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426164of6553600_0 00:15:57 (00:15:37) 11/11/2022 12:31:05 AM 11/11/2022 12:32:44 AM 0,995C + 1INT 97,91 Reported: OK + ARC A750 2201.52 MB 459.22 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426379of6553600_0 00:15:53 (00:15:33) 11/11/2022 12:47:00 AM 11/11/2022 12:48:44 AM 0,995C + 1INT 97,90 Reported: OK + ARC A750 2196.60 MB 452.77 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425498of6553600_0 00:30:18 (00:29:40) 11/11/2022 1:17:20 AM 11/11/2022 1:17:44 AM 0,995C + 1INT 97,91 Reported: OK + ARC A750 2517.87 MB 771.03 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426390of6553600_0 00:25:16 (00:24:47) 11/11/2022 1:42:38 AM 11/11/2022 1:42:44 AM 0,995C + 1INT 98,09 Reported: OK + ARC A750 2383.08 MB 636.27 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp422818of6553600_0 00:15:06 (00:14:48) 11/11/2022 1:57:44 AM 11/11/2022 1:58:44 AM 0,995C + 1INT 98,01 Reported: OK + ARC A750 2161.96 MB 706.20 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425117of6553600_0 00:20:06 (00:19:42) 11/11/2022 2:17:53 AM 11/11/2022 2:19:44 AM 0,995C + 1INT 98,01 Reported: OK + ARC A750 2306.35 MB 851.64 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425979of6553600_0 00:33:42 (00:32:57) 11/11/2022 2:51:37 AM 11/11/2022 2:53:51 AM 0,995C + 1INT 97,77 Reported: OK + ARC A750 2638.94 MB 891.86 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426162of6553600_0 00:30:18 (00:29:46) 11/11/2022 3:21:56 AM 11/11/2022 3:22:51 AM 0,995C + 1INT 98,24 Reported: OK + ARC A750 2533.80 MB 786.00 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425946of6553600_0 00:25:38 (00:25:13) 11/11/2022 3:47:36 AM 11/11/2022 3:48:51 AM 0,995C + 1INT 98,37 Reported: OK + ARC A750 2436.66 MB 689.09 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424342of6553600_0 00:13:39 (00:13:25) 11/11/2022 4:01:16 AM 11/11/2022 4:01:51 AM 0,995C + 1INT 98,29 Reported: OK + ARC A750 2128.01 MB 387.14 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424056of6553600_0 00:28:27 (00:28:02) 11/11/2022 4:29:45 AM 11/11/2022 4:30:51 AM 0,995C + 1INT 98,54 Reported: OK + ARC A750 2506.33 MB 758.00 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425950of6553600_0 00:29:19 (00:28:46) 11/11/2022 4:59:05 AM 11/11/2022 5:00:51 AM 0,995C + 1INT 98,12 Reported: OK + ARC A750 2540.89 MB 791.97 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425947of6553600_0 00:25:09 (00:24:45) 11/11/2022 5:24:16 AM 11/11/2022 5:24:51 AM 0,995C + 1INT 98,41 Reported: OK + ARC A750 2455.63 MB 706.96 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424580of6553600_0 00:19:37 (00:19:18) 11/11/2022 5:43:54 AM 11/11/2022 5:44:57 AM 0,995C + 1INT 98,39 Reported: OK + ARC A750 2281.96 MB 552.94 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424032of6553600_0 00:20:02 (00:19:43) 11/11/2022 6:03:57 AM 11/11/2022 6:05:58 AM 0,995C + 1INT 98,42 Reported: OK + ARC A750 2328.37 MB 579.07 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp426017of6553600_0 00:13:33 (00:13:20) 11/11/2022 6:17:33 AM 11/11/2022 6:19:03 AM 0,995C + 1INT 98,40 Reported: OK + ARC A750 2140.63 MB 397.14 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425977of6553600_0 00:27:46 (00:27:17) 11/11/2022 6:45:21 AM 11/11/2022 6:45:59 AM 0,995C + 1INT 98,26 Reported: OK + ARC A750 2480.57 MB 731.82 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425134of6553600_0 00:28:16 (00:27:50) 11/11/2022 7:13:38 AM 11/11/2022 7:14:59 AM 0,995C + 1INT 98,47 Reported: OK + ARC A750 2504.60 MB 757.77 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425941of6553600_0 00:30:00 (00:29:32) 11/11/2022 7:43:39 AM 11/11/2022 7:44:29 AM 0,995C + 1INT 98,44 Reported: OK + ARC A750 2551.65 MB 804.01 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424358of6553600_0 00:19:13 (00:18:55) 11/11/2022 8:02:54 AM 11/11/2022 8:05:38 AM 0,995C + 1INT 98,44 Reported: OK + ARC A750 2316.43 MB 646.53 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp424058of6553600_0 00:20:24 (00:20:04) 11/11/2022 8:23:20 AM 11/11/2022 8:25:29 AM 0,995C + 1INT 98,37 Reported: OK + ARC A750 2336.15 MB 587.36 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425975of6553600_0 00:38:55 (00:19:50) 11/11/2022 9:02:16 AM 11/11/2022 9:02:37 AM 0,995C + 1INT 50,96 Reported: OK + ARC A750 2585.41 MB 836.42 MB
NumberFields@home 4.02 Get Decic Fields (opencl_intel_gpu) wu_sf7_DS-15x12_Grp425951of6553600_0 00:37:18 (00:32:59) 11/11/2022 9:46:27 AM 11/11/2022 9:46:40 AM 0,995C + 1INT 88,43 Reported: OK + ARC A750 2410.75 MB 662.78 MB


Maybe a top GPU page would be nice to compare ?

I seem to be having problems in getting GPU work. I have an Intel HD 630 GPU as far as I am aware the driver is up to date, but I keep getting the message no GPU work available for some reason. I can run Einstein WU's no problem so BOINC knows the GPU is there.

Thanks

I seem to be having problems in getting GPU work. I have an Intel HD 630 GPU as far as I am aware the driver is up to date, but I keep getting the message no GPU work available for some reason. I can run Einstein WU's no problem so BOINC knows the GPU is there.

Thanks

It could be several things. You need to have beta apps selected and the card must support openCL 1.1

I seem to be having problems in getting GPU work. I have an Intel HD 630 GPU as far as I am aware the driver is up to date, but I keep getting the message no GPU work available for some reason. I can run Einstein WU's no problem so BOINC knows the GPU is there.

Thanks

It could be several things. You need to have beta apps selected and the card must support openCL 1.1

AFAIK INTEL Intel(R) HD Graphics 630 OpenCL: 3.0
at least on one of my computers :)

You need to have beta apps selected

Thanks for your help now crunching away..

Great 👍

GPU Summary String = [INTEL|Intel(R)UHDGraphics605[0x3184]|2|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.
Error: clBuildProgram() returned CL_INVALID_BINARY
Build Log:
error : unresolved external symbol __const.pdtKernelStg3.resMod64 at offset 48 in instructions segment #14 (aka kernel : pdtKernelStg3)
error : unresolved external symbol __const.pdtKernelStg3.resMod63 at offset 64 in instructions segment #14 (aka kernel : pdtKernelStg3)
error : unresolved external symbol __const.pdtKernelStg3.resMod65 at offset 80 in instructions segment #14 (aka kernel : pdtKernelStg3)

Error: Failed to initialize OpenCL.

*->*Intel(R)UHDGraphics605=IGP of Intel Pentium J5005*<-*

GPU Summary String = [INTEL|Intel(R)UHDGraphics605[0x3184]|2|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.
Error: clBuildProgram() returned CL_INVALID_BINARY
Build Log:
error : unresolved external symbol __const.pdtKernelStg3.resMod64 at offset 48 in instructions segment #14 (aka kernel : pdtKernelStg3)
error : unresolved external symbol __const.pdtKernelStg3.resMod63 at offset 64 in instructions segment #14 (aka kernel : pdtKernelStg3)
error : unresolved external symbol __const.pdtKernelStg3.resMod65 at offset 80 in instructions segment #14 (aka kernel : pdtKernelStg3)

Error: Failed to initialize OpenCL.

*->*Intel(R)UHDGraphics605=IGP of Intel Pentium J5005*<-*

That is an odd error since there is no binary and it should be building the code from source. My guess is that the openCL portion of the driver is buggy.

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.

Updated the driver, error occurs later now

7.22.1

process exited with code 1 (0x1, -255)

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.


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.

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.

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?

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

---

In October of 1969 I took an oath to support and defend the Constitution of the United States against all enemies, foreign and domestic;
There was no expiration date.

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

The GPU and CPU tasks process the same amount of data, so my guess is the GPU is not efficient enough.

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

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

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

If it still doesn't work then the resource problem is probably related to the size of the code that the openCL generates, which could be another driver problem or the app is just too complex for your card.

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.

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.

You might be right. It works with all my managers, but I only run linux and my versions are 70.20.2 or older.

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.

You might be right. It works with all my managers, but I only run linux and my versions are 70.20.2 or older.

Just tried to test anonymous platform and it doesn't work, because server-side setting disallows anonymous platforms.

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?

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?

If I had to guess, I would say they "fixed" the newer version of the client to make it more secure, so that the user can't change any of the application files. But again, that's only a guess, and there could be other explanations.