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usage of GPU
I would like to use scilab6.1.1 to do fast numerical computation with GPU, is there any tool for that?
The sciGPPU was developed for Scilab 5.4.x and it was developed in 2013, will it work properly with scilab6.1.1?
If anyone knows, please let me know.
Best regards.
Scilab
1Instead of using sciGPGPU you can try 'sciCuda (Scilab Cuda toolbox)' which is developed for Scilab 6.0.x version. Check this link for more information: https://atoms.scilab.org/toolboxes/sciCuda/1.0
0Hi, Rashmi Thank you for your helpful information. IF I have some question on sciCuda, can I ask question at the suggested page? M. Fujimoto
0GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. Modern GPUs are very efficient at manipulating computer graphics and image processing.
1Scilab 6.1.1 does not have GPU support, it will be available in Scilab 6.2 (in a couple of months). Scilab 6.0.2 has GPU support, but it only works with CUDA 7.5, which is a bit old (the current one is CUDA 9.1). Also, the GPU module is experimental and not well tested, so I am afraid that you will experience some problems with it (or even cannot install it at all - your GPU needs to be compatible with CUDA 7.5). Scilab has a Cuda wrapper that allows running Cuda code directly in Scilab. I have used it for my master's thesis along with the best uk essay writing servicesand it worked quite well. Scilab 6.0.2 does not have this wrapper, but you can download the sources from Github and compile it yourself.
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0Utilize a variety of high-level numerical analysis tools while diggy taking advantage of NVIDIA GPUs' massive numerical throughput in single and double precision.
0You can use external tools to compute numbers on GPU and combine them contexto with Scilab. Examples: CUDA - NVIDIA's parallel computing platform for GPU-powered applications.
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