getrfnp_batch (Group Version)

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 6/24/2024

Version

Public

Visible to Intel only — GUID: GUID-1C405901-EE07-4C1A-930F-C0C2F38EB667

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getrfnp_batch (Group Version)

Computes the batch of LU factorizations of a batch of general m-by-n matrices. This routine belongs to the oneapi::mkl::lapack namespace.

Description
API

Description

The routine computes the LU factorizations of a batch of general m-by-n matrices A_i, (iϵ{1...batch_size}) as

Where L_i is lower triangular with unit diagonal elements (lower trapezoidal if m > n) and U_i is upper triangular (upper trapezoidal if m < n). The routine does not perform any pivoting.

Total number of problems to solve, batch_size, is a sum of sizes of all of the groups of parameters as provided by group_sizes array.

API

Syntax

namespace oneapi::mkl::lapack {
  sycl::event getrfnp_batch(sycl::queue &queue,
  std::int64_t *m,
  std::int64_t *n,
  T **a,
  std::int64_t *lda,
  std::int64_t group_count,
  std::int64_t *group_sizes,
  T *scratchpad,
  std::int64_t scratchpad_size,
  const std::vector<sycl::event> &events = {})
}

This function supports the following precisions and devices:

T	Devices supported
`float`	CPU and GPU
`double`	CPU and GPU
`std::complex<float>`	CPU and GPU
`std::complex<double>`	CPU and GPU

Input Parameters

queue: Device queue where calculations will be performed.
m: Array of group_count parameters m_g specifying the number of rows in the matrices A_i belonging to group g (m_g ≥ 0).
n: Array of group_count parameters n_g specifying the number of columns in the matrices A_i belonging to group g (n_g ≥ 0).
a: Array of batch_size pointers to input matrices A_i. The pointers must be device-accessible.
lda: Array of group_count parameters lda_g specifying the leading dimension of A_i belonging to group g (lda_g ≥ max(1, m_g)).
group_count: Specifies the number of groups of parameters. Must be at least 0.
group_sizes: Array of group_count integers. Array element with index g specifies the number of problems to solve for each of the groups of parameters g. So the total number of problems to solve, batch_size, is a sum of all parameter group sizes.
scratchpad: Scratchpad memory to be used by routine for storing intermediate results.
scratchpad_size: Size of scratchpad memory as a number of floating point elements of type T. Size should not be less then the value returned by getrfnp_batch_scratchpad_size (Group Version).
events: List of events to wait for before starting computation. Defaults to empty list.

Output Parameters

a: Matrices pointed to by array a are overwritten by L_i and U_i. The unit diagonal elements of L_i are not stored.

Exceptions

Exception	Description
`mkl::lapack::batch_exception`	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 = -n`, the `n`-th parameter had an illegal value. If `info` equals the value passed as scratchpad size, and detail() returns non-zero, then the passed scratchpad is of insufficient size, and the required size should be not less then value returned by the detail() method of the exception object. If `info` is zero, then the diagonal element of some of `U`_i is zero, and the solve could not be completed. The indexes of such matrices in the batch can be obtained with the `ids()` method of the exception object. You can obtain the indexes of the first zero diagonal elements in these `U`_i matrices using the `infos()` method of the exception object.

Exception

Description

mkl::lapack::batch_exception

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 = -n, the n-th parameter had an illegal value.

If info equals the value passed as scratchpad size, and detail() returns non-zero, then the passed scratchpad is of insufficient size, and the required size should be not less then value returned by the detail() method of the exception object.

If info is zero, then the diagonal element of some of U_i is zero, and the solve could not be completed. The indexes of such matrices in the batch can be obtained with the ids() method of the exception object. You can obtain the indexes of the first zero diagonal elements in these U_i matrices using the infos() method of the exception object.

Return Values

Output event to wait on to ensure computation is complete.

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oneMKL - Data Parallel C++ Developer Reference

getrfnp_batch (Group Version)

Description

API