Could calls to lapack routines in CUDA (CULA or MAGMA) be instantiated within a CUDA kernel and not from the Host? (__device functions and not __global functions) If it is not possible, how to therefore implement (_device) linear algebra routines in CUDA? My goal is to run in parallel in CUDA some Lapack functions (sgesvd, sgesv..) and the calls in my application have to be made from device and not from host.
CUDA lapack librairies (CULA & MAGMA) as device functions
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