Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference

Developer Reference

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oneapi::mkl::sparse::optimize_gemv

Performs internal optimizations for oneapi::mkl::sparse::gemv by analyzing the matrix structure.

Description

Refer to Exceptions for a detailed description of the exceptions thrown.
The
oneapi::mkl::sparse::optimize_gemv
 routine analyzes matrix structure and performs optimizations. Optimized data is then stored in the matrix handle.

API

Syntax
Currently, complex types are not supported.
Using SYCL buffers:
namespace oneapi::mkl::sparse {
    void optimize_gemv (
        cl::sycl::queue &queue,
        oneapi::mkl::transpose transpose_flag,
        oneapi::mkl::sparse::matrix_handle_t handle)
}
Using USM pointers:
Currently, the USM API might be a blocking call. 
namespace oneapi::mkl::sparse {
    cl::sycl::event optimize_gemv (
        cl::sycl::queue &queue,
        oneapi::mkl::transpose transpose_flag,
        oneapi::mkl::sparse::matrix_handle_t handle,
        const std::vector<cl::sycl::event> &dependencies)
}
Include Files
  • oneapi/mkl/spblas.hpp
Input Parameters
queue
Specifies the SYCL command queue which will be used for SYCL kernels execution.
transpose_flag
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
.
Currently, the only supported case for operation is
oneapi::mkl::transpose::nontrans
.
handle
Handle to object containing sparse matrix and other internal data. Created using one of the
oneapi::mkl::sparse::set_<sparse_matrix_type>_data
 routines.
Currently, the only supported case for
<sparse_matrix_type>
 is csr.
dependencies
A vector of type
std::vector<cl::sycl::event>
 containing the list of events that the
oneapi::mkl::sparse::optimize_gemv
 routine depends on.
Return Values (USM Only)
cl::sycl::event
SYCL event which can be waited upon or added as a dependency for the completion of the
optimize_gemv
 routine.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.