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?