trsm¶
Solves a triangular matrix equation (forward or backward solve).
Description¶
The trsm routines solve triangular matrix equations where one of
the matrices in the multiplication is triangular. The argument
left_right determines if the triangular matrix, A, is on the
left of the multiplication (left_right = side::left) or on
the right (left_right = side::right). The operation is defined as:
If (left_right = side::left),

If (left_right = side::right),

where:
op(
A) is one of op(A) =A, or op(A) =AT, or op(A) =AHalphais a scalarAis eithermxmornxntriangular matrixBandXaremxngeneral matrices
On return, matrix B is overwritten by solution matrix X.
trsm supports the following precisions:
T |
|---|
|
|
|
|
trsm (Buffer Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
void trsm(sycl::queue &queue,
oneapi::mkl::side left_right,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose transa,
oneapi::mkl::diag unit_diag,
std::int64_t m,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &a,
std::int64_t lda,
sycl::buffer<T,1> &b,
std::int64_t ldb)
}
namespace oneapi::mkl::blas::row_major {
void trsm(sycl::queue &queue,
oneapi::mkl::side left_right,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
oneapi::mkl::diag unit_diag,
std::int64_t m,
std::int64_t n,
T alpha,
sycl::buffer<T,1> &a,
std::int64_t lda,
sycl::buffer<T,1> &b,
std::int64_t ldb)
}
Input Parameters¶
- queue
The queue where the routine should be executed.
- left_right
Specifies whether matrix
Ais on the left side or right side of the multiplication. See Data Types for more details.- upper_lower
Specifies whether matrix
Ais upper or lower triangular. See Data Types for more details.- trans
Specifies op(
A), the transposition operation applied to matrixA. See Data Types for more details.- unit_diag
Specifies whether matrix
Ais unit triangular or not. See Data Types for more details.- m
Number of rows of matrix
B. Must be at least zero.- n
Number of columns of matrix
B. Must be at least zero.- alpha
Scaling factor for the solution.
- a
Buffer holding input matrix
A. Size of the buffer must be at leastlda*mifleft_right=side::leftorlda*nifleft_right=side::right. See Matrix Storage for more details.- lda
Leading dimension of matrix
A. Must be at leastmifleft_right=side::leftor at leastnifleft_right=side::right. Must be positive.- b
Buffer holding input matrix
B. Size of the buffer must be at leastldb*nif column major layout or at leastldb*mif row major layout is used. See Matrix Storage for more details.- ldb
Leading dimension of matrix
B. Must be at leastmif column major layout or at leastnif row major layout is used. Must be positive.
Output Parameters¶
- b
Output buffer overwritten by solution matrix
X.
Note
If alpha = 0, matrix B is set to zero, and A and B do not need to be initialized before calling trsm.
trsm (Buffer Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
sycl::event trsm(sycl::queue &queue,
oneapi::mkl::side left_right,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
oneapi::mkl::diag unit_diag,
std::int64_t m,
std::int64_t n,
T alpha,
const T* a,
std::int64_t lda,
T* b,
std::int64_t ldb,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event trsm(sycl::queue &queue,
oneapi::mkl::side left_right,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
oneapi::mkl::diag unit_diag,
std::int64_t m,
std::int64_t n,
T alpha,
const T* a,
std::int64_t lda,
T* b,
std::int64_t ldb,
const std::vector<sycl::event> &dependencies = {})
}
Input Parameters¶
- queue
The queue where the routine should be executed.
- left_right
Specifies whether matrix
Ais on the left side or right side of the multiplication. See Data Types for more details.- upper_lower
Specifies whether matrix
Ais upper or lower triangular. See Data Types for more details.- trans
Specifies op(
A), the transposition operation applied to matrixA. See Data Types for more details.- unit_diag
Specifies whether matrix
Ais unit triangular or not. See Data Types for more details.- m
Number of rows of matrix
B. Must be at least zero.- n
Number of columns of matrix
B. Must be at least zero.- alpha
Scaling factor for the solution.
- a
Pointer to input matrix
A. Size of the array must be at leastlda*mifleft_right=side::leftorlda*nifleft_right=side::right. See Matrix Storage for more details.- lda
Leading dimension of matrix
A. Must be at leastmifleft_right=side::leftor at leastnifleft_right=side::right. Must be positive.- b
Pointer to input matrix
B. Size of the array must be at leastldb*nif column major layout or at leastldb*mif row major layout is used. See Matrix Storage for more details.- ldb
Leading dimension of matrix
B. Must be at leastmif column major layout or at leastnif row major layout is used. Must be positive.- dependencies
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters¶
- b
Pointer to output matrix overwritten by solution matrix
X.
Note
If alpha = 0, matrix B is set to zero, and A and B do not need to be initialized before calling trsm.
Return Values¶
Output event to wait on to ensure computation is complete.