Christopher Herr
10-24-12, 12:29 PM
Hi everyone,
since there seems to be a 'desire'/need for a working GpuGrid app_info with CUDA 3.1 support for cards with compute capability under 2.0 IIRC :confused: I will give one here:
Download http://www.gpugrid.net/download/acemd.win.2352
and http://www.gpugrid.net/download/cudart32_31_9.dll
and http://www.gpugrid.net/download/cufft32_31_9.dll
and http://www.gpugrid.net/download/tcl85.dll
and put all those files into the GpuGrid project folder. ;)
For Windows 7 open System settings, Advanced system settings, Environment variables and enter 'SWAN_SYNC' as new variable for the system with value '0' (exactly written that way without the quotation marks, of course).
Rumor had it, this was no longer necessary or of any use, but I respectfully disagree, it will shave off a couple/dozens of minutes of the runtimes in average. ;)
Another good idea is to reserve the thread/core via ProLasso ( http://bitsum.com/prolasso.php ), say thread/core 0 to 'acemd*' and give this wildcard string also high CPU priority and restrict the other say CPU applications run by BOINC to the remaining threads/cores. ;)
Content of the app_info, running one at a time with one CPU thread/core support, to be saved into a text file named 'app_info.xml' (again without quotation marks) in the GpuGrid project folder:
<app_info> <app>
<name>acemdlong</name>
<user_friendly_name>ACEMDLONG: GPU Molecular Dynamics</user_friendly_name>
</app>
<file_info>
<name>acemd.win.2352</name>
<executable/>
</file_info>
<file_info>
<name>cudart32_31_9.dll</name>
<executable/>
</file_info>
<file_info>
<name>cufft32_31_9.dll</name>
<executable/>
</file_info>
<file_info>
<name>tcl85.dll</name>
<executable/>
</file_info>
<app_version>
<app_name>acemdlong</app_name>
<version_num>616</version_num>
<platform>windows_intelx86</platform>
<plan_class>cuda31</plan_class>
<api_version>6.7.0</api_version>
<avg_ncpus>1.000000</avg_ncpus>
<max_ncpus>1.000000</max_ncpus>
<coproc>
<type>CUDA</type>
<count>1.000000</count>
</coproc>
<file_ref>
<file_name>acemd.win.2352</file_name>
<main_program/>
<copy_file/>
</file_ref>
<file_ref>
<file_name>cudart32_31_9.dll</file_name>
<open_name>cudart32_31_9.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>cufft32_31_9.dll</file_name>
<open_name>cufft32_31_9.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>tcl85.dll</file_name>
<open_name>tcl85.dll</open_name>
<copy_file/>
</file_ref>
<gpu_ram>402653184.000000</gpu_ram>
</app_version>
</app_info>
Hope this works out for you!
Note that more recent cards (with Compute Capability over and equal to 2.0) can more efficiently run the CUDA 4.2 application, but will need 25 mV higher voltage to run it at the same OC!
--> For those I have posted the CUDA 4.2 application and app_info as well. :)
since there seems to be a 'desire'/need for a working GpuGrid app_info with CUDA 3.1 support for cards with compute capability under 2.0 IIRC :confused: I will give one here:
Download http://www.gpugrid.net/download/acemd.win.2352
and http://www.gpugrid.net/download/cudart32_31_9.dll
and http://www.gpugrid.net/download/cufft32_31_9.dll
and http://www.gpugrid.net/download/tcl85.dll
and put all those files into the GpuGrid project folder. ;)
For Windows 7 open System settings, Advanced system settings, Environment variables and enter 'SWAN_SYNC' as new variable for the system with value '0' (exactly written that way without the quotation marks, of course).
Rumor had it, this was no longer necessary or of any use, but I respectfully disagree, it will shave off a couple/dozens of minutes of the runtimes in average. ;)
Another good idea is to reserve the thread/core via ProLasso ( http://bitsum.com/prolasso.php ), say thread/core 0 to 'acemd*' and give this wildcard string also high CPU priority and restrict the other say CPU applications run by BOINC to the remaining threads/cores. ;)
Content of the app_info, running one at a time with one CPU thread/core support, to be saved into a text file named 'app_info.xml' (again without quotation marks) in the GpuGrid project folder:
<app_info> <app>
<name>acemdlong</name>
<user_friendly_name>ACEMDLONG: GPU Molecular Dynamics</user_friendly_name>
</app>
<file_info>
<name>acemd.win.2352</name>
<executable/>
</file_info>
<file_info>
<name>cudart32_31_9.dll</name>
<executable/>
</file_info>
<file_info>
<name>cufft32_31_9.dll</name>
<executable/>
</file_info>
<file_info>
<name>tcl85.dll</name>
<executable/>
</file_info>
<app_version>
<app_name>acemdlong</app_name>
<version_num>616</version_num>
<platform>windows_intelx86</platform>
<plan_class>cuda31</plan_class>
<api_version>6.7.0</api_version>
<avg_ncpus>1.000000</avg_ncpus>
<max_ncpus>1.000000</max_ncpus>
<coproc>
<type>CUDA</type>
<count>1.000000</count>
</coproc>
<file_ref>
<file_name>acemd.win.2352</file_name>
<main_program/>
<copy_file/>
</file_ref>
<file_ref>
<file_name>cudart32_31_9.dll</file_name>
<open_name>cudart32_31_9.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>cufft32_31_9.dll</file_name>
<open_name>cufft32_31_9.dll</open_name>
<copy_file/>
</file_ref>
<file_ref>
<file_name>tcl85.dll</file_name>
<open_name>tcl85.dll</open_name>
<copy_file/>
</file_ref>
<gpu_ram>402653184.000000</gpu_ram>
</app_version>
</app_info>
Hope this works out for you!
Note that more recent cards (with Compute Capability over and equal to 2.0) can more efficiently run the CUDA 4.2 application, but will need 25 mV higher voltage to run it at the same OC!
--> For those I have posted the CUDA 4.2 application and app_info as well. :)