HTML Code:
<app_info>
<app>
<name>einsteinbinary_BRP4</name>
<user_friendly_name>Binary Radio Pulsar Search (Arecibo)</user_friendly_name>
</app>
<file_info>
<name>einsteinbinary_BRP4_1.00_windows_intelx86__BRP3cuda32.exe</name>
<executable/>
</file_info>
<file_info>
<name>cudart_xp32_32_16.dll</name>
<executable/>
</file_info>
<file_info>
<name>cufft_xp32_32_16.dll</name>
<executable/>
</file_info>
<file_info>
<name>db.dev.win.3d35195e</name>
</file_info>
<file_info>
<name>dbhs.dev.win.3d35195e</name>
</file_info>
<app_version>
<app_name>einsteinbinary_BRP4</app_name>
<version_num>100</version_num>
<platform>windows_intelx86</platform>
<avg_ncpus>0.200000</avg_ncpus>
<max_ncpus>1.000000</max_ncpus>
<flops>32706701893.376610</flops>
<plan_class>BRP3cuda32</plan_class>
<api_version>6.13.0</api_version>
<file_ref>
<file_name>einsteinbinary_BRP4_1.00_windows_intelx86__BRP3cuda32.exe</file_name>
<main_program/>
</file_ref>
<file_ref>
<file_name>cudart_xp32_32_16.dll</file_name>
<open_name>cudart32_32_16.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>cufft_xp32_32_16.dll</file_name>
<open_name>cufft32_32_16.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>db.dev.win.3d35195e</file_name>
<open_name>db.dev</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>dbhs.dev.win.3d35195e</file_name>
<open_name>dbhs.dev</open_name>
<copy_file/>
</file_ref>
<coproc>
<type>CUDA</type>
<count>0.500000</count>
</coproc>
<gpu_ram>314572800.000000</gpu_ram>
</app_version>
</app_info>
I created an updated "GPU ONLY" app_info for Einstein. I tested it and it works fine. Just change the gpu_ram line to suit your card.
I did this because I wanted to get my gpu usage % maxed out as it was only around 60%. Seems like a waste of gpu power to run it like that. The app_info will run 2 wu's per gpu. So far, it appears that it is still running at around 60%, so even though I have 2 tasks running at a time, it will now take 2 times as long to finish, so it's a wash.
I have 2 threads free and overall cpu usage is at around 90%, so I have room to spare.
I may fiddle with the following to see if increasing the values helps.
<avg_ncpus>0.200000</avg_ncpus>
<max_ncpus>1.000000</max_ncpus>
Anyone successful in getting Einstein@home to use all of your GPU?