Questions and Answers :
GPU applications :
NVIDIA Tesla C1060
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Author | Message |
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N0ADM Send message Joined: 17 Jun 11 Posts: 4 Credit: 44,440 RAC: 0 |
Has any one used this GPU board NVidia Tesla C1060? would be compined with 2)GeForce GTX 560 Ti Video Cards, ASUS Rampage III Black Edition ROG Motherboard, Intel Core i7-990X 3.46 GHz, 24GB of DDR3 Ram, 2) 1TB sata drives, looking for more computing power. thanks for the advice |
OzzFan Send message Joined: 9 Apr 02 Posts: 15691 Credit: 84,761,841 RAC: 28 |
It is estimated that the nVidia Tesla C1060 is about as powerful as a GTX 285, but consumes considerably more power. If you're looking for more computing power, I'd suggest going with triple-SLI and get another GTX 560 Ti. Make sure your power supply can handle it first, of course. |
Lint trap Send message Joined: 30 May 03 Posts: 871 Credit: 28,092,319 RAC: 0 |
If you're looking for more computing power, I'd suggest going with triple-SLI and get another GTX 560 Ti. Make sure your power supply can handle it first, of course. I think the 560 Ti (like too many of Nvidia's later offerings) only does 2fer-SLI; there's just one connector on it. Martin |
N0ADM Send message Joined: 17 Jun 11 Posts: 4 Credit: 44,440 RAC: 0 |
the GT 560 series i have can only run in 2 way SLI configuration, one reason i was thinking of adding the tesla to the system. |
OzzFan Send message Joined: 9 Apr 02 Posts: 15691 Credit: 84,761,841 RAC: 28 |
Then don't run it in SLI, just run all three individually. |
Jord Send message Joined: 9 Jun 99 Posts: 15184 Credit: 4,362,181 RAC: 3 |
Have you seen the width of those things? How do you add 3 next to each other in one system? Mustn't be a tower of sorts either, as how do you hang three of those things underneath each other without ripping your motherboard to pieces? I see an Asus GTX560 TI DCII TOP/2DI/1G weighs in at 2.87lbs, that's 1.29 kilos. You sure you want 4 kilos of videocard in your tower? ;-) |
N0ADM Send message Joined: 17 Jun 11 Posts: 4 Credit: 44,440 RAC: 0 |
bionc will see all 3 cards and utilize all 3 in that way? if so thanks for the help. |
N0ADM Send message Joined: 17 Jun 11 Posts: 4 Credit: 44,440 RAC: 0 |
i figure while im am still in the building of this system mind as well utilize all features that i paid for and its for a good cause. figured my budget for this build was 7K and i am about 5K currently |
Sutaru Tsureku Send message Joined: 6 Apr 07 Posts: 7105 Credit: 147,663,825 RAC: 5 |
If you are a gamer it's an other topic.. But for CUDA calculation you need to disable SLI for max performance. Newer driver should do this automatically. So if you would like to build a crunching machine, you could add different cards in one PC case. But you shouldn't combine non- (8xxx to GTX2xx series)/ & Fermi (GTX4xx+) cards in one PC case, because BOINC can't send different numbers of WUs to different (non-/&Fermi) GPUs. Because with the currently available CUDA apps you would need to let run 2+ WUs/GPU simultaneously for whole Fermi chip usage. On non Fermi GPUs this isn't possible, there only 1 WU/GPU. - Best regards! - Sutaru Tsureku, team seti.international founder. - Optimize your PC for higher RAC. - SETI@home needs your help. - |
OzzFan Send message Joined: 9 Apr 02 Posts: 15691 Credit: 84,761,841 RAC: 28 |
bionc will see all 3 cards and utilize all 3 in that way? if so thanks for the help. Yes, BOINC will see all three cards and utilize all 3. |
Greg W Jones Send message Joined: 28 Nov 02 Posts: 29 Credit: 25,473,210 RAC: 0 |
So, you're saying that it is not recommended to combine a GTX260 and a GTX560Ti in the same computer for boinc crunching? I currently have a GTX260 and was planning to add a GTX560Ti in the same computer. I am just starting to read and learn about optiziming my GPU crunching. So, I have not yet enabled multiple WUs per GPU yet. Any advise would be appreciated. Thanks Greg |
BilBg Send message Joined: 27 May 07 Posts: 3720 Credit: 9,385,827 RAC: 0 |
Better move the GeForce GTX 260 to another computer (Core 2 Quad CPU Q6600 @ 2.40GHz) and put the GTX 560Ti in "this" (Core 2 Quad CPU Q9450 @ 2.66GHz) computer. (unless you want to use the GTX 260 as PhysX card for gaming) It is possible to use the mixed GTX 260/560Ti configuration with both standard and optimized apps (which I see you use now: "Multibeam x38g Preview, Cuda 3.20" (Lunatics_x38g_win32_cuda32.exe)) but GTX 260 is not capable of running effectively 2 tasks at once. If you want to test it - do it now before adding the GTX 560Ti : Suspend all tasks Exit BOINC Go to ....\projects\setiathome.berkeley.edu\ Make copy of app_info.xml (for easy undo of changes) Edit app_info.xml with Notepad Make the changes (info bellow) and save the file Start BOINC Resume 2 CUDA tasks Look closely for the running times and possible errors The changes to make: In the following section change the all 6 occurrences of: <count>1</count> to: <count>0.5</count> <app_info> <app> <name>setiathome_enhanced</name> </app> <file_info> <name>Lunatics_x38g_win32_cuda32.exe</name> <executable/> </file_info> <file_info> <name>cudart32_32_16.dll</name> <executable/> </file_info> <file_info> <name>cufft32_32_16.dll</name> <executable/> </file_info> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>610</version_num> <platform>windows_intelx86</platform> <plan_class>cuda_fermi</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>609</version_num> <platform>windows_intelx86</platform> <plan_class>cuda23</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>608</version_num> <platform>windows_intelx86</platform> <plan_class>cuda</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>610</version_num> <platform>windows_x86_64</platform> <plan_class>cuda_fermi</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>609</version_num> <platform>windows_x86_64</platform> <plan_class>cuda23</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> <app_version> <app_name>setiathome_enhanced</app_name> <version_num>608</version_num> <platform>windows_x86_64</platform> <plan_class>cuda</plan_class> <avg_ncpus>0.040000</avg_ncpus> <max_ncpus>0.040000</max_ncpus> <coproc> <type>CUDA</type> <count>1</count> </coproc> <file_ref> <file_name>Lunatics_x38g_win32_cuda32.exe</file_name> <main_program/> </file_ref> <file_ref> <file_name>cudart32_32_16.dll</file_name> </file_ref> <file_ref> <file_name>cufft32_32_16.dll</file_name> </file_ref> </app_version> </app_info> Â - ALF - "Find out what you don't do well ..... then don't do it!" :) Â |
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