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Zeile 11: Zeile 11:
 
<br>
 
<br>
 
<br>
 
<br>
−
== [[Collatz Conjecture]] ==
+
===[[Amicable Numbers]]===
 +
<app_config>
 +
  <app>
 +
      <name>amicable_10_21</name>
 +
      <gpu_versions>
 +
          <gpu_usage>1.0</gpu_usage>
 +
          <cpu_usage>1.0</cpu_usage>
 +
      </gpu_versions>
 +
    </app>
 +
</app_config>
 +
 
 +
===[[Asteroids@home]]===
 +
Anpassung der maximal gleichzeitig gerechneten CPU-Workunits mittels des Tags max_concurrent, da die Workunits die Recheneinheiten und Caches sehr gut auslasten.
 +
  <app_config>
 +
    <app>
 +
        <name>period_search</name>
 +
    <!-- Anzahl Kerne eintragen -->
 +
    <max_concurrent>12</max_concurrent>
 +
    </app>
 +
  </app_config>
 +
===[[Collatz Conjecture]]===
 
  <app_config>
 
  <app_config>
 
   <app>
 
   <app>
Zeile 20: Zeile 40:
 
       </gpu_versions>
 
       </gpu_versions>
 
     </app>
 
     </app>
−
  </app_config><br>
+
  </app_config>
−
 
+
===[[Einstein@Home]]===
−
== [[Einstein@Home]] ==
 
 
  <app_config>
 
  <app_config>
 
   <app>
 
   <app>
Zeile 38: Zeile 57:
 
       </gpu_versions>
 
       </gpu_versions>
 
   </app>
 
   </app>
−
  </app_config><br>
+
  </app_config>
−
== [[MilkyWay@home]] ==
+
===[[MilkyWay@home]]===
 
  <app_config>
 
  <app_config>
 
   <app>
 
   <app>
Zeile 55: Zeile 74:
 
       </gpu_versions>
 
       </gpu_versions>
 
     </app>
 
     </app>
−
  </app_config><br>
+
  </app_config>
−
== [[PrimeGrid]] ==
+
===[[MLC@home]]===
 +
<app_config>
 +
  <app>
 +
      <name>mlds-gpu</name>
 +
      <gpu_versions>
 +
          <gpu_usage>0.5</gpu_usage>
 +
          <cpu_usage>1.0</cpu_usage>
 +
      </gpu_versions>
 +
    </app>
 +
</app_config>
 +
===[[Moo!Wrapper]]===
 +
<app_config>
 +
  <app>
 +
      <name>dnetc</name>
 +
      <gpu_versions>
 +
          <gpu_usage>0.5</gpu_usage>
 +
          <cpu_usage>0.05</cpu_usage>
 +
      </gpu_versions>
 +
    </app>
 +
</app_config>
 +
===[[PrimeGrid]]===
 +
====Für Nvidia und Sieve====
 +
<app_config>
 +
  <app_version>
 +
    <app_name>pps_sr2sieve</app_name>
 +
    <plan_class>cudaPPSsieve</plan_class>
 +
    <cmdline>-m64</cmdline>
 +
    <avg_ncpus>1</avg_ncpus>
 +
    <ngpus>0.5</ngpus>
 +
  </app_version>
 +
</app_config>
 +
 
 +
====Für AMD und Sieve====
 +
<app_config>
 +
  <app_version>
 +
  <app_name>pps_sr2sieve</app_name>
 +
  <plan_class>openclatiPPSsieve</plan_class>
 +
  <cmdline>-m16 --vecsize=1</cmdline>
 +
  <avg_ncpus>1</avg_ncpus>
 +
  <ngpus>0.5</ngpus>
 +
  </app_version>
 +
</app_config>
 +
====Für alle GPU-Unterprojekte====
 
  <app_config>
 
  <app_config>
 
   <app>
 
   <app>
Zeile 149: Zeile 210:
 
       </gpu_versions>
 
       </gpu_versions>
 
     </app>
 
     </app>
 +
</app_config>
 +
===[[Private GFN Server]]===
 +
====Multithreading====
 +
<app_config>
 +
  <app_version>
 +
    <app_name>gfn13_mega</app_name>
 +
    <max_concurrent>1</max_concurrent>
 +
    <report_results_immediately/>
 +
    <cmdline>-t 4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>llr2</app_name>
 +
    <max_concurrent>1</max_concurrent>
 +
    <report_results_immediately/>
 +
    <cmdline>-t 4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
</app_config>
 +
===[[SRBase]]===
 +
====Multithreading====
 +
<app_config>
 +
  <app>
 +
    <name>srbase</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase2</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase3</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase4</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase5</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase6</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase7</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase8</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase9</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase10</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase11</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app>
 +
    <name>srbase12</name>
 +
    <max_concurrent>1</max_concurrent>
 +
  </app>
 +
  <app_version>
 +
    <app_name>srbase</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase2</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase3</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase4</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase5</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase6</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase7</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase8</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase9</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase10</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase11</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
  <app_version>
 +
    <app_name>srbase12</app_name>
 +
    <cmdline>-t4</cmdline>
 +
    <avg_ncpus>4</avg_ncpus>
 +
  </app_version>
 +
</app_config>
 +
===[[YAFU]]===
 +
<app_config>
 +
  <app>
 +
      <name>yafu-64t</name>
 +
  <max_concurrent>128</max_concurrent>
 +
  </app>
 +
  <app>
 +
      <name>yafu-128t</name>
 +
  <max_concurrent>128</max_concurrent>
 +
  </app>
 +
</app_config>
 +
===[[Yoyo]]===
 +
<app_config>
 +
  <app>
 +
    <name>ecmP2</name>
 +
      <max_concurrent>1</max_concurrent>
 +
      <fraction_done_exact>0</fraction_done_exact>
 +
      <report_results_immediately>0</report_results_immediately>
 +
  </app>
 +
  <app_version>
 +
    <app_name>ecmP2</app_name>
 +
        <cmdline></cmdline>
 +
        <avg_ncpus>1.000000</avg_ncpus>
 +
    </app_version>
 +
  <app>
 +
      <name>ecm</name>
 +
        <max_concurrent>7</max_concurrent>
 +
        <fraction_done_exact>0</fraction_done_exact>
 +
        <report_results_immediately>0</report_results_immediately>
 +
  </app>
 +
  <app_version>
 +
    <app_name>ecm</app_name>
 +
        <cmdline></cmdline>
 +
        <avg_ncpus>1.000000</avg_ncpus>
 +
  </app_version>
 +
    <project_max_concurrent>8</project_max_concurrent>
 +
    <report_results_immediately>0</report_results_immediately>
 
  </app_config>
 
  </app_config>

Aktuelle Version vom 6. Mai 2023, 07:15 Uhr

Mit einer app_config.xml können Parameter für die Projektberechnung festgelegt werden, die sich über die Projektseite nicht festlegen lassen. Per Suchmaschine lassen sich alle Parameter finden. Für unsere Zwecke geht es um das Einstellen:

  • wieviele GPU-WUs von welchem Projekt gleichzeitig, mit wievielen CPU-Kernen, rechnen sollen
  • von CPU-Projekten die Multithreading betreiben
  • der maximalen Anzahl von WUs, eines Projektes/Unterprojektes, die gleichzeitig gerechnet werden sollen

Werden diese Informationen im Race-Thread oder Plauderchat bekannt gegeben, gehen sie nach ein paar Seiten wieder unter.

Die app_config.xml Datei z. B. mit dem Notepad erstellen und in den jeweiligen BOINC-Projektordner "C:\ProgramData\BOINC\projects\..." abspeichern. Darauf achten, dass die Datei nicht "app_config.xml.txt" heißt.

Analog gilt bei Linux dann idR. /var/lib/boinc-client/projects/... oder /var/lib/boinc/projects/...

Amicable Numbers

<app_config>
  <app>
     <name>amicable_10_21</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

Asteroids@home

Anpassung der maximal gleichzeitig gerechneten CPU-Workunits mittels des Tags max_concurrent, da die Workunits die Recheneinheiten und Caches sehr gut auslasten. 

 <app_config>
   <app>
       <name>period_search</name>
   <max_concurrent>12</max_concurrent>
   </app>
 </app_config>

Collatz Conjecture

<app_config>
  <app>
     <name>collatz_sieve</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

Einstein@Home

<app_config>
 <app>
   <name>hsgamma_FGRPB1G</name>
     <gpu_versions>
     <gpu_usage>0.333</gpu_usage>
     <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
 </app>
 <app>
   <name>einstein_O2MDF</name>
      <gpu_versions>
      <gpu_usage>0.2</gpu_usage>
      <cpu_usage>1.0</cpu_usage>
      </gpu_versions>
 </app>
</app_config>

MilkyWay@home

<app_config>
  <app>
     <name>milkyway</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.05</cpu_usage>
     </gpu_versions>
   </app>
  <app>
     <name>milkyway_separation__modified_fit</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.05</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

MLC@home

<app_config>
  <app>
     <name>mlds-gpu</name>
     <gpu_versions>
         <gpu_usage>0.5</gpu_usage>
         <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

Moo!Wrapper

<app_config>
  <app>
     <name>dnetc</name>
     <gpu_versions>
         <gpu_usage>0.5</gpu_usage>
         <cpu_usage>0.05</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

PrimeGrid

Für Nvidia und Sieve

<app_config>
  <app_version>
    <app_name>pps_sr2sieve</app_name>
    <plan_class>cudaPPSsieve</plan_class>
    <cmdline>-m64</cmdline>
    <avg_ncpus>1</avg_ncpus>
    <ngpus>0.5</ngpus>
  </app_version>
</app_config>

Für AMD und Sieve

<app_config>
 <app_version>
  <app_name>pps_sr2sieve</app_name>
  <plan_class>openclatiPPSsieve</plan_class>
  <cmdline>-m16 --vecsize=1</cmdline>
  <avg_ncpus>1</avg_ncpus>
  <ngpus>0.5</ngpus>
 </app_version>
</app_config>

Für alle GPU-Unterprojekte

<app_config>
  <app>
     <name>pps_sr2sieve</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>ap26</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>1.0</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer_wr</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer15</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer16</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer17low</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer17mega</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer18</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer19</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer20</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>genefer_extreme</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
   <app>
     <name>ww</name>
     <gpu_versions>
         <gpu_usage>1.0</gpu_usage>
         <cpu_usage>0.084</cpu_usage>
     </gpu_versions>
   </app>
</app_config>

Private GFN Server

Multithreading

<app_config>
  <app_version>
    <app_name>gfn13_mega</app_name>
    <max_concurrent>1</max_concurrent>
    <report_results_immediately/>
    <cmdline>-t 4</cmdline>
    <avg_ncpus>4</avg_ncpus>
  </app_version>
  <app_version>
    <app_name>llr2</app_name>
    <max_concurrent>1</max_concurrent>
    <report_results_immediately/>
    <cmdline>-t 4</cmdline>
    <avg_ncpus>4</avg_ncpus>
  </app_version>
</app_config>

SRBase

Multithreading

<app_config>
  <app>
    <name>srbase</name>
    <max_concurrent>1</max_concurrent>
  </app>
  <app>
   <name>srbase2</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase3</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase4</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase5</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase6</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase7</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase8</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase9</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase10</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase11</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app>
   <name>srbase12</name>
   <max_concurrent>1</max_concurrent>
 </app>
 <app_version>
   <app_name>srbase</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase2</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase3</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase4</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase5</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase6</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase7</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase8</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase9</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase10</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase11</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
 <app_version>
   <app_name>srbase12</app_name>
   <cmdline>-t4</cmdline>
   <avg_ncpus>4</avg_ncpus>
 </app_version>
</app_config>

YAFU

<app_config>
  <app>
      <name>yafu-64t</name>
  <max_concurrent>128</max_concurrent>
  </app>
  <app>
      <name>yafu-128t</name>
  <max_concurrent>128</max_concurrent>
  </app>
</app_config>

Yoyo

<app_config>
 <app>
   <name>ecmP2</name>
     <max_concurrent>1</max_concurrent>
     <fraction_done_exact>0</fraction_done_exact>
     <report_results_immediately>0</report_results_immediately>
 </app>
 <app_version>
    <app_name>ecmP2</app_name>
        <cmdline></cmdline>
        <avg_ncpus>1.000000</avg_ncpus>
    </app_version>
 <app>
     <name>ecm</name>
        <max_concurrent>7</max_concurrent>
        <fraction_done_exact>0</fraction_done_exact>
        <report_results_immediately>0</report_results_immediately>
 </app>
 <app_version>
   <app_name>ecm</app_name>
       <cmdline></cmdline>
       <avg_ncpus>1.000000</avg_ncpus>
 </app_version>
    <project_max_concurrent>8</project_max_concurrent>
    <report_results_immediately>0</report_results_immediately>
</app_config>
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