I get the below error message snippet a lot while trying to compile Nvidia Cuda 10 samples for testing Cuda GPU development [ c++ code]:
The Windows SDK version 10.0.15063.0 was not found. Install the required version of Windows SDK or change the SDK version in the project property pages or by right-clicking the solution and selecting “Retarget solution”.
145>Done building project “topologyQuery_vs2017.vcxproj” — FAILED.
Solution l have found is to double check the Visual Studio 2017 installer and check installing below. It seems even though l have a full VS 2017 installation with all the default sections installed, a more recent SDK is installed on my workstation.
I run Windows 10 Home together with Visual Studio 2017 Enterprise Edition, and have Nvidia Cuda 10 installed for GPU programming.
After doing above, l was able to successfully compile most of the Cuda Code samples as shown below, without the previous error. Yes!!
General Notes on the Dell Alienware 17 R5:
Base unit came with GTX1060 6gb, M.2 Sandisk 2280 128Gb, 1Tb 2.5″ Hard drive…
Quick comparison to an older unit, no dual HDD option, no DVD/Burner drive, less USB drive slots, no SD card slot, but lots of newer VR friendly options, faster CPU and faster/more current GPU
Benchmark results, see this link,
M.2 upgrade device that worked for me – in Slot 2:
WD Black M.2 2280 500Gb PCIe nvme [$129]
Note – Sandisk V-Nand will NOT work for Slot 2
Slot 3 is M.2 2240
More to come, pics, and videos
Dell Emc Windows 10 recovery usb image download link
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.
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
Updating to the latest cuda development toolkit on Linuxmint 18.1 [with a GTX 1080+970]
First, update to R390 Driver
sudo dpkg -i cuda-repo-ubuntu1704-9-1-local_9.1.85-1_amd64.deb
sudo apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install 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 188.8.131.5296. So l downloaded the latest driver from the nvidia website and the new driver is now dated 12/26/2008 release 184.108.40.20620
/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.
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