oneapi::mkl::sparse::optimize

oneMKL - Data Parallel C++ Developer Reference

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ID 772045

Date 6/24/2024

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oneapi::mkl::sparse::optimize_trsm

Performs internal optimizations for oneapi::mkl::sparse::trsm by analyzing the provided matrix structure and operation parameters.

Description
API

Description

The oneapi::mkl::sparse::optimize_trsm routine analyzes matrix structure and performs optimizations. Optimized data is then stored in the matrix handle. We have two versions of oneapi::mkl::sparse::optimize_trsm; one analyzes the sparse matrix pattern only, and the other version could take information about the layout and dimenstions of the dense matrices and may allow further optimizations based on the given input.

NOTE:

Refer to Error Handling for a detailed description of the possible exceptions thrown.

API

Syntax

Using USM and SYCL buffers:

 namespace oneapi::mkl::sparse {
     sycl::event optimize_trsm (
         sycl::queue &queue,
         oneapi::mkl::uplo uplo_val,
         oneapi::mkl::transpose  opA,
         oneapi::mkl::diag diag_val,
         oneapi::mkl::sparse::matrix_handle_t A,
         const std::vector<sycl::event> &dependencies = {});

     sycl::event optimize_trsm (
         sycl::queue &queue,
         oneapi::mkl::layout layout_val,
         oneapi::mkl::uplo uplo_val,
         oneapi::mkl::transpose  opA,
         oneapi::mkl::diag diag_val,
         oneapi::mkl::sparse::matrix_handle_t A,
         const std::int64_t columns,
         const std::vector<sycl::event> &dependencies = {});
}

Include Files

oneapi/mkl/spblas.hpp

Input Parameters

queue

Specifies the SYCL command queue that will be used for SYCL kernels execution.

layout_val

Specifies the storage scheme in memory for the dense matrices. Note that this layout applies to both X and Y dense matrices.

uplo_val

Specifies which part of the matrix is to be processed.

`oneapi::mkl::uplo::lower`	The lower triangular matrix part is processed.
`oneapi::mkl::uplo::upper`	The upper triangular matrix part is processed.

opA

Specifies operation op() on input matrix.

`oneapi::mkl::transpose::nontrans`	Non-transpose, `op(A)` = `A`.
`oneapi::mkl::transpose::trans`	Transpose, `op(A)` = `A`^T.
`oneapi::mkl::transpose::conjtrans`	Conjugate transpose, `op(A)` = `A`^H.

NOTE:

Currently, the only supported case for operation is oneapi::mkl::transpose::nontrans.

diag_val

Specifies whether the diagonal used for computations is unit or not.

`oneapi::mkl::diag::nonunit`	Diagonal elements might not be equal to one.
`oneapi::mkl::diag::unit`	Diagonal elements are equal to one.

A

Handle to object containing sparse matrix and other internal data. Created using one of the oneapi::mkl::sparse::set_<sparse_matrix_type>_data routines.

NOTE:

The supported cases for <sparse_matrix_type> are csr on CPU and GPU devices, and coo only on CPU device.

columns

Number of columns of matrix op(X) and Y of following sparse::trsm() routine.

dependencies

A vector of type std::vector<sycl::event> containing the list of events that the oneapi::mkl::sparse::optimize_trsm routine depends on.

Return Values (USM Only)

sycl::event

SYCL event that can be waited upon or added as a dependency for the completion of the optimize_trsm routine.

sycl::event ev_opt = sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A);               // Allowed use in case of USM
sycl::event ev_opt = sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A, {});           // Allowed use in case of USM
sycl::event ev_opt = sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A, dependencies); // Allowed use in case of USM
sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A);                                    // OK Recommended use in case of sycl::buffer
static_cast<void>(sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A));                 // OK Recommended use in case of sycl::buffer (explicitly say we aren't using the event)(will be used in sycl::buffer examples)
sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A, {});                                // Not recommended in case of sycl::buffer, but supported;
sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A, dependencies);                      // Not recommended in case of sycl::buffer, but supported;
sycl::event ev_opt = sparse::optimize_trsm(queue, uplo_val, opA, diag_val, A);               // Allowed use in case of sycl::buffer, but most sycl::buffer oneMKL APIs do not have ability to pass in dependencies

sycl::event ev_opt = sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns);               // Allowed use in case of USM
sycl::event ev_opt = sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns, {});           // Allowed use in case of USM
sycl::event ev_opt = sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns, dependencies); // Allowed use in case of USM
sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns);                                    // OK Recommended use in case of sycl::buffer
static_cast<void>(sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns));                 // OK Recommended use in case of sycl::buffer (explicitly say we aren't using the event)(will be used in sycl::buffer examples)
sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns, {});                                // Not recommended in case of sycl::buffer, but supported;
sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns, dependencies);                      // Not recommended in case of sycl::buffer, but supported;
sycl::event ev_opt = sparse::optimize_trsm(queue, layout_val, uplo_val, opA, diag_val, A, columns);               // Allowed use in case of sycl::buffer, but most sycl::buffer oneMKL APIs do not have ability to pass in dependencies

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oneMKL - Data Parallel C++ Developer Reference

oneapi::mkl::sparse::optimize_trsm

Description

API