I am trying to compute: C = 1*(A*B\') + 0*C using cblas_dgemm(). As far as I can tell, the parameters are correct.
I am totally stumped. I have a fairly large recursive program written in c that calls cblas_dgemm(). The result is verified independently by a program that works correctly.
I have a program that runs through R but uses the BLAS routines. It runs through correctly ab开发者_StackOverflowout 8 times but then throws an error:
Background: I am working on a project written in a mix of C and Fortran 77 and now need to link the LAPACK/BLAS libraries to the project (all in a Linux environment). The LAPACK in question is version
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\'m trying to use CMake to build a program relying on blas, I\'m detecting blas using : i开发者_运维知识库nclude (${CMAKE_ROOT}/Modules/FindBLAS.cmake)
How large a system is it reasonable to attempt to do a linear regression on? Specifically: I have a system with ~300K sample points a开发者_JS百科nd ~1200 linear terms. Is this computationally feasib
I know that Blitz++ gets its performance plus by extensive usage of ex开发者_运维知识库pression templates and template metaprogramms. But at some point you can\'t get more out of your code by using th
I have noticed that MATLAB provides the BLAS and LAPACK headers among others: $ ls ${MATLAB_DIR}/extern/include/
I am looking for algorithm to solve the following problem : I have two sets of vectors, and I want to find the matrix that best approximate the transformation from the inpu开发者_如何学Pythont vector
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