[Chimera-users] Nvidia Quadro P5000

Greg Couch gregc at cgl.ucsf.edu
Thu Jul 13 14:31:32 PDT 2017

Thanks for the update.  Doesn't make sense to me either.

     -- Greg

On 07/11/2017 11:19 AM, Pep Triviño wrote:
> The CPU is better in the new computer (Intel(R) Xeon(R) CPU E5-2690 v4
> @ 2.60GHz vs Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz). The caches of
> the CPU are slightly bigger. The new computer has more RAM (512GB vs
> 128GB), and their clock speed is also higher (2400MHz vs 2133MHz). The
> Nvidia Quadro P5000 has 16GB, while the other one has 8GB. Sincerely,
> I don't know why it is going slower. I thought it was something
> related with the program, linux distribution or driver version.
> I have tested it in chimeraX and the side view is working as it should.
> Thanks.
> 2017-07-10 22:55 GMT+02:00 Greg Couch <gregc at cgl.ucsf.edu>:
>> The performance issue might not be the graphics card, but the rest of the
>> computer.  Compare the CPUs and the memory size and speed.  If you can put
>> one of the graphics cards in the other computer temporarily, you should be
>> able to tell if its the graphics card.  Also compare the amount of memory on
>> the graphics card -- some of the Chimera benchmarks are affected by the
>> amount of memory in the computer and in the graphics card.
>>      HTH,
>>      Greg
>> On 07/10/2017 07:41 AM, Josep TRIVIÑO VALLS wrote:
>>> Hello,
>>> I have a brand new computer with a Nvidia P5000. I have not seen
>>> anything related with this graphic card but I am not obtaining the
>>> expected results when using Chimera. Chimera detects the graphic card
>>> and the drivers, and when running the benchmarks it seems like it is
>>> working better than, for example, the GeForce GTX TITAN X. I have also
>>> been testing with the side view of a large protein, which I can do
>>> with a Quadro M4000 on another computer, but with the Quadro P5000 it
>>> is not working properly. It works slowly.
>>> I am using OpenSuse Leap 42.2 with the newest Nvidia driver 375.66. I
>>> have also installed the Cuda libraries. Any hints about what I should
>>> do in order to get it working properly?
>>> Thanks.
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