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Send message Joined: 12 May 17 Posts: 11 Credit: 1,526,808,577 RAC: 8,757,372 |
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. |
Send message Joined: 11 Feb 14 Posts: 114 Credit: 7,649,163 RAC: 45 |
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). |
Send message Joined: 12 May 17 Posts: 11 Credit: 1,526,808,577 RAC: 8,757,372 |
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. |
Send message Joined: 11 Feb 14 Posts: 114 Credit: 7,649,163 RAC: 45 |
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> 2231a6cdbfc3e179ba0552ea2294dc182ddfa5e68681a0adc9f133582e6fd528 a84eaaa2a90a4584daef27a6c625013a4214195553982caf87b4636734eeeee1 aab9ef3e49ab13db461030c4412b0608addb5db5176b61753d1bdb2603691b6d 9778ca62866afb452770a91f24faab7b0c6dc9041232604f9ad73df3a234702a . </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> 4da380667940129ec8a3eb320b633e4843b68931cf8011d86ee81bf468726c9a 3afa6bf74046a4a19ea3502e5327565320426d1748461de9cc8e42aa46788456 0b3221df05a970f307298a566c105000686e7e717133bc1898b318fa5d42c03b b9c801449e6a45e38f9a4dfaeeacdb72b1fb2f61458772d2d346f2f315a1c1cc . </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> 7847dd20c4b99cfe4273eab4efa481f1ec7930d9a66f1aed4bdb0c25cdd3f79b 541f9eb91814491f3bdd3a821d2b6fcede5614400876f71e7c618e7fb55d7561 f880f38ac93108d012e7f20282bbc780b9351fbec599ce59c5c5034d57daf2f0 e3f6de14905430e645ce714876476749952aefa7747f47751ddf8f4b8f6cc121 . </file_signature> <download_url>http://moowrap.net/download/dnetc-gpu-1.3.ini</download_url> </file> <file> <name>job-cuda31-1.00.xml</name> <nbytes>229.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <signature_required/> <file_signature> 877551c57d9f79d3523cb80b0a103db90827bd12c4d62e6488fe1753aa4cc10e b5a74565d9a8b44db03adeaac98db89f30294075026cee1a8549abc5f6857691 4964b7aa4e48896d21aa650e193e49b9497da3d645e038fca76db89cc2f0a481 8c7a35b2b21b80e14206de880dab99bb736464722de9cc0cbaaea09ef9cd61f1 . </file_signature> <download_url>http://moowrap.net/download/job-cuda31-1.00.xml</download_url> </file> <file> <name>cudart32_31_9.dll</name> <nbytes>250472.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <signature_required/> <file_signature> 7085a76c800fff1c4085294fdbd0a39b76e01660c00dc0d059faf7a69ebe0650 88a27b4ace173d3ab46f7f3cd2b68f4c595082f79d317188abb2181a186561ee 50a47e750fd3ffabcd93d9652cd9fd7d18cc8ed2431f02f40fc6a6ad0c049b2a 1e1dbfab0711adae54bc4a1953316f4603faaf3916d1dd99293367b053e44918 . </file_signature> <download_url>http://moowrap.net/download/cudart32_31_9.dll</download_url> </file> <file> <name>dnetc_wrapper_1.5_windows_x86_64.exe</name> <nbytes>1241600.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <executable/> <signature_required/> <file_signature> 17be8a6658802c0dc31215a2b142c1d1257a6d892a5e1b62487a4aab995c96d8 23b254cc25fcebf64fd274a60fe3bec3b597d35e6e5bace2ae4937822a051348 0cb28dd04488fe4dc31359459650524851f0dc8787022eebc7b7f049f13cfc3f 3dd8f8f28807e7b38f2463d6d245364de1d1b4eedf23093aea4d47bb712e3c5a . </file_signature> <download_url>http://moowrap.net/download/dnetc_wrapper_1.5_windows_x86_64.exe</download_url> </file> <file> <name>dnetc521-win64-amd64.exe</name> <nbytes>1554432.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <executable/> <signature_required/> <file_signature> 0b16e1207038d1ea61004d29d80229d9783fce1d995bcc55ae1b305180049591 7456871817d536ba1c48f2b174bc768c9903c1c10b8725bbc24b133dee2f8e65 b8e8f6be5cd12f8fff202d907c7832657d7be4e601f9b78d1a7450f25409b6d5 efa52afd6447a5289a5bca89c8670e520318cde6fe3c3da7e71969effb739f42 . </file_signature> <download_url>http://moowrap.net/download/dnetc521-win64-amd64.exe</download_url> </file> <file> <name>dnetc-cpu-1.4.ini</name> <nbytes>524.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <signature_required/> <file_signature> 5a8b04a4f05981f0f7313f2990e902e2b48ee499135dceba6bae7e6ebb633665 1e766e263244f2d5dd2f9fbcfbb88946625d8026cba0f877dd2398779591ab74 29040f9690680fe8aca0404c287cbb10d0c22222496ca3ad08a6169ef83be109 adf0f4246293a13e495ac787593e66dd29f41d141a254ccbb368014864204b62 . </file_signature> <download_url>http://moowrap.net/download/dnetc-cpu-1.4.ini</download_url> </file> <file> <name>job-win64-521.1.xml</name> <nbytes>250.000000</nbytes> <max_nbytes>0.000000</max_nbytes> <status>1</status> <signature_required/> <file_signature> 2431edcf113ea61856d4c2305d55f1cc3f610f3e17bd9b7fe9e7931a1f849ff5 e539023ef1c66944d9855dc878f4e49c1bb3fecd40ed0dc3b20734f19fd45a75 fb0200c39fc803624dae0bb0e1320006a46fbf65dda8a9df7ae31e488040869d 5117bc6029c3d1da8bb02fa857794a5fb1d29a9812591f52f735c31898a48214 . </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. |
Send message Joined: 12 May 17 Posts: 11 Credit: 1,526,808,577 RAC: 8,757,372 |
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Send message Joined: 12 May 17 Posts: 11 Credit: 1,526,808,577 RAC: 8,757,372 |
That's a huge file, not sure what parts you need. Thank you for taking the time to get this setup for me. |
Send message Joined: 11 Feb 14 Posts: 114 Credit: 7,649,163 RAC: 45 |
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. |
Send message Joined: 12 May 17 Posts: 11 Credit: 1,526,808,577 RAC: 8,757,372 |
Okay, I'll check when I get home from work. |
Send message Joined: 11 Feb 14 Posts: 114 Credit: 7,649,163 RAC: 45 |
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. |
Send message Joined: 11 Feb 14 Posts: 114 Credit: 7,649,163 RAC: 45 |
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> |