I\'m looking for a very bare bones matrix multiplication example for CUBLAS that can multiply M times N and place the results in P for the following code, using high-performance GPU operations:
After implementing matrix multiplication with CUDA. I tried to implement it with CUBLAS(thanks to the advice of some people here in the forum).
I am trying to use CUBLAS to sum two big matrices of unknown size. I need a fully optimized code (if possible) so I chose not to rewrite the matrix addition code (simple) but using CUBLAS, in particul
I\'m using CUBLAS (Cuda Blas libraries) for matrix operations. Is possible to use CUBLAS to achieve the exponentiation/root mean square of a matrix items?
This should be very simple but I could not find an exhaustive answer: I need to perform开发者_运维百科 A+B = C with matrices, where A and B are two matrices of unknown size (they could be 2x2 or 20.0
I\'m wondering about NVI开发者_如何学JAVADIA\'s cuBLAS Library. Does anybody have experience with it? For example if I write a C program using BLAS will I be able to replace the calls to BLAS with cal
I tried to allocate 17338896 elements of floating point numbers as follows (which is roughly 70 mb): state = cublasAlloc(theSim->Ndim*theSim->Ndim,
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