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How to utilize power of GPU computing in Matlab

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Atinesh Singh
Atinesh Singh el 21 de Mayo de 2017
Respondida: Joss Knight el 22 de Mayo de 2017
My research work is in the field of Evolutionary computation, Sometimes I need to run the algorithm on high dimensional data (dimension may go beyond 1000). For such high dimensional problems, sometimes it takes days for me to collect the data. I have heard of Matlab's "Parallel computing toolbox" which distributes computation over GPU and other multiple clusters and speeds up the computation process. I checked the documentation page it says it requires "NVIDIA graphics card with compute capability 1.3", But I have AMD Radeon graphics card. Is it possible for me use my GPU computing power in Matlab computation.

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Walter Roberson
Walter Roberson el 21 de Mayo de 2017
Sorry, there is no support for AMD GPU or Intel GPU, only for NVidia GPU.
Apparently it turns out that different vendors and different models implement OpenCL differently enough that Mathworks would have to be able to generate a number of different variations depending on exactly what was being targeted. It is not clear that would be worth doing until OpenCL implementations become more standardized.
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Atinesh Singh
Atinesh Singh el 21 de Mayo de 2017
Editada: Atinesh Singh el 21 de Mayo de 2017
Can I use Matlab's "Distributed Computing Server". On the documentation page, it says it requires "Parallel computing toolbox".
Walter Roberson
Walter Roberson el 21 de Mayo de 2017
DCS requires that you have access to a cluster.
If you have access to a machine with multiple cores, then you can use the Parallel Computing Toolbox to access multiple CPU cores, without using the DCS. The NVidia restriction is for GPU use, not CPU use.

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Joss Knight
Joss Knight el 22 de Mayo de 2017

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