Blender

Blender Open Data

I’ve used several benchmark software to compare computer hardware especially nvidia GPU cards used for cuda programming.  One good free benchmark software is Maxon CineBench    , another is Unigine Haven

 

Here are surprising results generated from the new Blender Benchmark under its Blender Open data website program.

Quick summary/my findings:

  • less render time running Linux [LinumMint] than under Windows 10 [all things turned off], same hardware
  • SSD’s help

Linux run: Workstation with GTX1080 8Gb, GTX970 4Gb, 32Gb RAM, Quad core Intel processor. No SSD

Same hardware as above but run under Windows 10

Ran on same hardware, only using the GTX1080 8Gb , under Linuxmint – impressive resuly showing in my view and from cuda/nvidia research l did that the 4Gb of the 2nd graphics card limits the performance.

 

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Home PC #2  Results below, newer PC, no SSD, 2 x GTX560Ti

Below results from Alienware 17 [4 years old] with Samsung Evo 500Gb SSD, GTX860M

High Performance Computing

Top500 2017

“The Top500 list the 500 fastest computer system being used today. In 1993 the collection was started and has been updated every 6 months since then. The report lists the sites that have the 500 most powerful computer systems installed. The best Linpack benchmark performance achieved is used as a performance measure in ranking the computers. The TOP500 list has been updated twice a year since June 1993.”

“Mflop/s is a rate of execution, millions of floating point operations per second. Whenever this term is used it will refer to 64 bit floating point operations and the operations will be either addition or multiplication.

Gflop/s refers to billions of floating point operations per second and Tflop/s refers to trillions of floating point operations per second.”

Source:  Top 500 website

Below is the result of my laptop running Linpack.java  : 228MFlops !!!  🙂

Below is the current 2017 top500 results

benchmark

Nvidia cuda….

Wanted to take advantage of the CUDA from NVIDIA (a leading GPU manufacturer) – a system that uses GPUs for scientific computing. You also need a minimum of 256Mb Video card RAM to take advantage of CUDA. This will also increase my BOINC/SETI processing speed. My current nvidia driver for my PNY Quadro FX370 was dated 5/26/2008 release 7.15.11.6996. So l downloaded the latest driver from the nvidia website and the new driver is now dated 12/26/2008 release 7.15.11.8120
/this works okay on my Quad-core workstation and boosted my Vista index from 3.6 to 4.2
My Vista index ratings for my Processor/RAM/Hard drive was before and after the update 5.9
Graphics rating went from 3.6 to 4.2
Games graphics capability went from 4.0 to 4.6
It will be interesting to see this week what this GPU processing does to my boinc/seti ratings.
As of 2/26/2009
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