Is there any linear algebra library available for coding CUDA kernels? In developing of CUDA code, I

Accelerated Computing CUDA CUDA Programming and Performance
1

[font=Arial, Helvetica,]In developing of CUDA code, I found it is quite common to need sort of Matrix operation, Matrix inverse, so on. Is there any opensource code available for this?[/font]

2

It depends if you want to process one large matrix (say 10 000 x 10 000) or many small matrices (say 10 x 10 in each GPU thread).

There is CUBLAS from Nvidia, then there is MAGMA and CULA.

CUBLAS

MAGMA

CULA

3

Can CUBLAS APIs directly called from a CUDA kernel?

For example:

device forceinline void func( MatrixType M, MatrixType& N){

N = M.inverse();

}

4

Probably, it is not possible to call a CUBLAS function from inside a kernel. Check this thread:
[url=“The Official NVIDIA Forums | NVIDIA”]The Official NVIDIA Forums | NVIDIA

5

I think this is possible now with Dynamic parallelism on Kepler series.

6

That feature is restricted to the GK110 chips, which will not be released until the end of the year. Current Kepler chips (GK104 and GK107) do not support dynamic parallelism.