Accelerate eigs with GPU
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Dear all,
I have implemented a numerical solver (of the Fokker-Planck equation) in MATLAB.
At some point, the algorithm needs to calculate
eigs(L, 1, 0)
of a very large sparse matrix L.
I would like to perform this calculation on a GPU to lower the computational costs. So, I created the array
Lgpu = gpuArray(L);
on the GPU and tried to calculate
eigs(Lgpu, 1, 0)
again.
Unfortunately, I receive the error message: "First argument must be a double matrix or a function."
I am wondering what the cause of this error might be and appreciate any help from you.
Thank you very much.
best,
Sven
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Respuestas (2)
Christine Tobler
el 30 de Jul. de 2020
Editada: Edric Ellis
el 30 de Jul. de 2020
The eigs function is not supported on the GPU. There is support for sparse matrices on the GPU, since R2015a: Release notes parallel computing toolbox.
You could pass a function handle to EIGS that would use computation on the GPU, but would need to accept and pass back out vectors on the CPU. I'm not sure how efficient that would be, but it could be worth a try.
6 comentarios
Bruno Luong
el 30 de Jul. de 2020
Yeah I would also expect any speedup using GPU. Mostly EIGS on sparse is mainly an iterative process in double layers. Nothing really leans for GPU computation.
Walter Roberson
el 29 de Jul. de 2020
There is no GPU support for sparse arrays.
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