Tag: cuda

The Windows SDK version 10.0.15063.0 was not found [ Nvidia Cuda GPU Sample Code Compilation]

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 …

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Alienware 17 R5 – Notes

General Notes on the Dell Alienware 17 R5: 10-20-18 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 …

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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 …

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Linuxmint 18.1 – Cuda 9.1 Toolkit

Updating to the latest cuda development toolkit on Linuxmint 18.1 [with a GTX 1080+970] Notes: Reference links: Nvidia Cuda development Nvidia driver downloads Cuda development introduction First, update to R390 Driver Terminal commands 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 Screenshots

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NVIDIA CUDA 8 with LinuxMint

Notes, screenshots and results using, installing, testing Nvidia Cuda on Linuxmint 18.1 “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).“ References: Puget systems nVidia devtalk NVidia CUDA SimpleScreenRecorder – awesome! used to create the …

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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 …

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