potrs (USM Version)

Solves a system of linear equations with a Cholesky-factored symmetric (Hermitian) positive-definite coefficient matrix. This routine belongs to the oneapi::mkl::lapack namespace.


cl::sycl::event potrs(cl::sycl::queue &queue, mkl::uplo uplo, std::int64_t n, std::int64_t nrhs, T *a, std::int64_t lda, T *b, std::int64_t ldb, T *scratchpad, std::int64_t scratchpad_size, const cl::sycl::vector_class<cl::sycl::event> &events = {})

potrs (USM version) supports the following precisions and devices:


Devices supported


Host, CPU, and GPU


Host, CPU, and GPU


Host, CPU, and GPU


Host, CPU, and GPU


The routine solves for X the system of linear equations A*X = B with a symmetric positive-definite or, for complex data, Hermitian positive-definite matrix A, given the Cholesky factorization of A:

A = UT*U for real data, A = UH*U for complex data

if uplo=mkl::uplo::upper

A = L*LT for real data, A = L*LH for complex data

if uplo=mkl::uplo::lower

where L is a lower triangular matrix and U is upper triangular. The system is solved with multiple right-hand sides stored in the columns of the matrix B.

Before calling this routine, you must call potrf (USM Version) to compute the Cholesky factorization of A.

Input Parameters


Device queue where calculations will be performed.


Indicates how the input matrix has been factored:

If uplo=mkl::uplo::upper, the upper triangle U of A is stored, where A = UT*U for real data, A = UH*U for complex data.

If uplo=mkl::uplo::lower, the upper triangle L of A is stored, where A = L*LT for real data, A = L*LH for complex data.


The order of matrix A (0≤n).


The number of right-hand sides (0≤nrhs).


Pointer to factorization of the matrix A, as returned by potrf (USM Version). The second dimension of a must be at least max(1, n).


The leading dimension of a.


Pointer to the data of matrix B whose columns are the right-hand sides for the systems of equations. The second dimension of b must be at least max(1,nrhs).


The leading dimension of b.


Pointer to scratchpad memory to be used by the routine for storing intermediate results.


Size of scratchpad memory as a number of floating point elements of type T. Size should not be less than the value returned by the potrs_scratchpad_size function.


List of events to wait for before starting computation. Defaults to empty list.

Output Parameters


The memory pointed to by pointer b is overwritten by the solution matrix X.



This exception is thrown when problems occur during calculations. You can obtain the info code of the problem using the info() method of the exception object: If info = -i, the i-th parameter had an illegal value. If info = i, the i-th diagonal element of the Cholesky factor is zero, and the solve could not be completed. If info is equal to the value passed as scratchpad size, and detail() returns non zero, then the passed scratchpad has an insufficient size, and the required size should not be less than the value returned by the detail() method of the exception object.

Return Values

Output event to wait on to ensure computation is complete.