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
) =A
T, or op(A
) =A
Halpha
is a scalarA
is eitherm
xm
orn
xn
triangular matrixB
andX
arem
xn
general 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
A
is on the left side or right side of the multiplication. See Data Types for more details.- upper_lower
Specifies whether matrix
A
is 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
A
is 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
*m
ifleft_right
=side::left
orlda
*n
ifleft_right
=side::right
. See Matrix Storage for more details.- lda
Leading dimension of matrix
A
. Must be at leastm
ifleft_right
=side::left
or at leastn
ifleft_right
=side::right
. Must be positive.- b
Buffer holding input matrix
B
. Size of the buffer must be at leastldb
*n
if column major layout or at leastldb
*m
if row major layout is used. See Matrix Storage for more details.- ldb
Leading dimension of matrix
B
. Must be at leastm
if column major layout or at leastn
if 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
A
is on the left side or right side of the multiplication. See Data Types for more details.- upper_lower
Specifies whether matrix
A
is 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
A
is 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
*m
ifleft_right
=side::left
orlda
*n
ifleft_right
=side::right
. See Matrix Storage for more details.- lda
Leading dimension of matrix
A
. Must be at leastm
ifleft_right
=side::left
or at leastn
ifleft_right
=side::right
. Must be positive.- b
Pointer to input matrix
B
. Size of the array must be at leastldb
*n
if column major layout or at leastldb
*m
if row major layout is used. See Matrix Storage for more details.- ldb
Leading dimension of matrix
B
. Must be at leastm
if column major layout or at leastn
if 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.