I recently compiled GotoBLAS2 (MacOSX 10.6) and linked it to my code, leading to all kind of wrong results. I ran everything through valgrind noticing some illegal reads from the GotoBLAS. When lookin
I want to use LAPACK and BLAS in Visual C/C++ 2010 (add LAPACK and BLAS libs to Visual C/C++ 2010), so I was reading a very similar question here (The same but with visual C/C++ 2008),He claims he sol
I am trying to make use of the function sgemm in BLAS using ctypes in python. Trying to solve C = A x B the following code works just fine:
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
In summary, my question is about how to implement a matrix copy between two block-cyclically distributed matrices on two different process grids in Scalapack (BLACS). I\'m attempting to implement this
I have allocated a big double vector, lets say with 100000 element. At some point in my code, I want to set all elements to a constant, nonzero value. How can I do this without using a for loop over a
I am trying to write a simple differental equation solver in mpi and fortran. I figured I may as well get familiar with using ATLAS/LAPACK/BLAS routines as they seem quite useful for any future numeri
I\'m going nuts with this issue. I can\'t get the result from the following multiplication: X^t * X X is an m * n matrix with m = 36 rows and n = 3 columns which is represented by an utl_nla_array_
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
加载中,请稍侯......