Allow us to choose which version to run.

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Skillz

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Message 8429 - Posted: 26 Mar 2023, 2:38:02 UTC

The cuda31 app sucks. My GPUs can run on the OpenCL app much, much faster. At a rate of over 2:1. I can complete ~40 cuda31 tasks per hour while the same system can complete ~90 opencl tasks in a single hour.

Yet, the server keeps sending me cuda31 tasks. I have no way to stop it other than aborting those tasks until I get a bunch of opencl tasks.
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Message 8430 - Posted: 26 Mar 2023, 10:13:25 UTC - in response to Message 8429.  
Last modified: 26 Mar 2023, 10:27:33 UTC

This has been requested many times, unfortunately not implemented yet. What you can do yourself is using the Anonymous platform mechanism to force the OpenCL app. This should not cause any issues, since the applications don't change here frequently.

I posted a working app_info.xml in this message, it's for the ATI CAL app, but you can use it as reference, the correct files and their names and other information for your Nvidia OpenCl app you can find in your client_state.xml once you processed an OpenCL task (you don't need to download or modify any files, you should have them, skip those steps).
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Skillz

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Message 8431 - Posted: 26 Mar 2023, 14:14:51 UTC

Appears to be for Windows, not sure it would work in Linux.

I did look that over and looked over the files in the Linux install, but I can't seem to figure out what file names to use for Linux that corresponds with the Windows file name.
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Message 8432 - Posted: 26 Mar 2023, 14:26:26 UTC - in response to Message 8431.  

All the information is in your client_state.xml actually, the app_info.xml isn't much different, I wrote one even for Android.

For my GTX 275 and the cuda app (and the CPU app) the relevant part is:
<app>
    <name>dnetc</name>
    <user_friendly_name>Distributed.net Client</user_friendly_name>
    <non_cpu_intensive>0</non_cpu_intensive>
</app>
<file>
    <name>dnetc_wrapper_1.3_windows_intelx86__cuda31.exe</name>
    <nbytes>418304.000000</nbytes>
    <max_nbytes>0.000000</max_nbytes>
    <status>1</status>
    <executable/>
    <signature_required/>
    <file_signature>
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.
</file_signature>
    <download_url>http://moowrap.net/download/dnetc_wrapper_1.3_windows_intelx86__cuda31.exe</download_url>
</file>
<file>
    <name>dnetc518-win32-x86-cuda31.exe</name>
    <nbytes>218624.000000</nbytes>
    <max_nbytes>0.000000</max_nbytes>
    <status>1</status>
    <executable/>
    <signature_required/>
    <file_signature>
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.
</file_signature>
    <download_url>http://moowrap.net/download/dnetc518-win32-x86-cuda31.exe</download_url>
</file>
<file>
    <name>dnetc-gpu-1.3.ini</name>
    <nbytes>447.000000</nbytes>
    <max_nbytes>0.000000</max_nbytes>
    <status>1</status>
    <signature_required/>
    <file_signature>
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.
</file_signature>
    <download_url>http://moowrap.net/download/dnetc-gpu-1.3.ini</download_url>
</file>
<file>
    <name>job-cuda31-1.00.xml</name>
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</file_signature>
    <download_url>http://moowrap.net/download/job-cuda31-1.00.xml</download_url>
</file>
<file>
    <name>cudart32_31_9.dll</name>
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</file_signature>
    <download_url>http://moowrap.net/download/job-win64-521.1.xml</download_url>
</file>
<app_version>
    <app_name>dnetc</app_name>
    <version_num>103</version_num>
    <platform>windows_intelx86</platform>
    <avg_ncpus>1.000000</avg_ncpus>
    <flops>71085192687.983200</flops>
    <plan_class>cuda31</plan_class>
    <api_version>6.13.12</api_version>
    <file_ref>
        <file_name>dnetc_wrapper_1.3_windows_intelx86__cuda31.exe</file_name>
        <main_program/>
    </file_ref>
    <file_ref>
        <file_name>dnetc518-win32-x86-cuda31.exe</file_name>
        <copy_file/>
    </file_ref>
    <file_ref>
        <file_name>dnetc-gpu-1.3.ini</file_name>
        <open_name>dnetc.ini</open_name>
        <copy_file/>
    </file_ref>
    <file_ref>
        <file_name>job-cuda31-1.00.xml</file_name>
        <open_name>job.xml</open_name>
        <copy_file/>
    </file_ref>
    <file_ref>
        <file_name>cudart32_31_9.dll</file_name>
        <copy_file/>
    </file_ref>
    <coproc>
        <type>NVIDIA</type>
        <count>1.000000</count>
    </coproc>
    <gpu_ram>33554432.000000</gpu_ram>
    <dont_throttle/>
</app_version>
<app_version>
    <app_name>dnetc</app_name>
    <version_num>105</version_num>
    <platform>windows_x86_64</platform>
    <avg_ncpus>1.000000</avg_ncpus>
    <flops>7498889328.256757</flops>
    <api_version>7.13.0</api_version>
    <file_ref>
        <file_name>dnetc_wrapper_1.5_windows_x86_64.exe</file_name>
        <main_program/>
    </file_ref>
    <file_ref>
        <file_name>dnetc521-win64-amd64.exe</file_name>
        <copy_file/>
    </file_ref>
    <file_ref>
        <file_name>dnetc-cpu-1.4.ini</file_name>
        <open_name>dnetc.ini</open_name>
        <copy_file/>
    </file_ref>
    <file_ref>
        <file_name>job-win64-521.1.xml</file_name>
        <open_name>job.xml</open_name>
        <copy_file/>
    </file_ref>
    <is_wrapper/>
</app_version>

If you post that part of your client_state.xml, I can write for you the app_info.xml file.
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Skillz

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Message 8433 - Posted: 26 Mar 2023, 16:48:40 UTC

<client_state>
<host_info>
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Message 8434 - Posted: 26 Mar 2023, 16:49:14 UTC

That's a huge file, not sure what parts you need.

Thank you for taking the time to get this setup for me.
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Message 8435 - Posted: 27 Mar 2023, 9:08:55 UTC - in response to Message 8434.  
Last modified: 27 Mar 2023, 10:04:42 UTC

I need the <app_version> parts for Moo!, they have been cut of due to the length of the file.
Must look like that:
<app_version>
    <app_name>dnetc</app_name>
...
</app_version>

You should have few of them, under all those <file> entries.
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Message 8436 - Posted: 27 Mar 2023, 14:24:15 UTC - in response to Message 8435.  

Okay, I'll check when I get home from work.
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Message 8437 - Posted: 28 Mar 2023, 9:15:35 UTC
Last modified: 28 Mar 2023, 9:28:13 UTC

OK, so run down your cache first, than:

1. Delete all files in your Moo! project dir except those 4:
dnetc_wrapper_1.5_x86_64-pc-linux-gnu__opencl_nvidia_101
dnetc521-linux-amd64-opencl
dnetc-gpu-1.3.ini
job-lin64-opencl-521.1.xml

2. Save this as app_info.xml in your Moo! project dir using a plain text editor. Make sure BOINC can read that file, Linux is a bit weird with that, I used "rw-rw-rw-" on my Android device, did not try with less that that, but r--r--r-- should also probably work:
<app_info>
 <app>
  <name>dnetc</name>
  <user_friendly_name>Distributed.net Client</user_friendly_name>
 </app>
 <file_info>
  <name>dnetc_wrapper_1.5_x86_64-pc-linux-gnu__opencl_nvidia_101</name>
  <executable/>
 </file_info>
 <file_info>
  <name>dnetc521-linux-amd64-opencl</name>
  <executable/>
 </file_info>
 <file_info>
  <name>dnetc-gpu-1.3.ini</name>
 </file_info>
 <file_info>
  <name>job-lin64-opencl-521.1.xml</name>
 </file_info>
 <app_version>
  <app_name>dnetc</app_name>
  <version_num>105</version_num>
  <avg_ncpus>0.25</avg_ncpus>
  <max_ncpus>0.25</max_ncpus>
  <plan_class>opencl_nvidia_101</plan_class>
  <platform>x86_64-pc-linux-gnu</platform>
  <coproc>
   <type>NVIDIA</type>
   <count>1</count>
  </coproc>
  <file_ref>
   <file_name>dnetc_wrapper_1.5_x86_64-pc-linux-gnu__opencl_nvidia_101</file_name>
   <main_program/>
  </file_ref>
  <file_ref>
   <file_name>dnetc521-linux-amd64-opencl</file_name>
   <copy_file/>
  </file_ref>
  <file_ref>
   <file_name>dnetc-gpu-1.3.ini</file_name>
   <open_name>dnetc.ini</open_name>
   <copy_file/>
  </file_ref>
  <file_ref>
   <file_name>job-lin64-opencl-521.1.xml</file_name>
   <open_name>job.xml</open_name>
   <copy_file/>
  </file_ref>
 </app_version>
</app_info>


3. Set your cache very low and check if it works, if not I will check the std_err of the errored out tasks. But I think I didn't miss anythink and it should work. If it doesn't work, simply shut down BOINC, delete the app_info file, start BOINC and reset the project. Or remove and add again Moo!, that clears every changes too.

The values for avg_ncpus and max_ncpus you can adjust to whatever suits your computer best, if you for example need 1 core per task, than set them both to 1. If you don't run CPU tasks at all, than they don't matter and you can leave them as they are.
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Message 8438 - Posted: 29 Mar 2023, 11:05:02 UTC - in response to Message 8437.  

The values for avg_ncpus and max_ncpus you can adjust to whatever suits your computer best, if you for example need 1 core per task, than set them both to 1. If you don't run CPU tasks at all, than they don't matter and you can leave them as they are.
I see your computer uses 1 whole CPU core per task, so best set avg_ncpus and max_ncpus to 1 like this:

  <avg_ncpus>1.00</avg_ncpus>
  <max_ncpus>1.00</max_ncpus>

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Message boards : Number crunching : Allow us to choose which version to run.


 
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