trmm¶
Computes a matrix-matrix product where one input matrix is triangular and other matrix is general.
Description¶
The trmm
routines compute a scalar-matrix-matrix product 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
ism
xn
general matrix
trmm
supports the following precisions:
T |
---|
|
|
|
|
trmm (Buffer Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major {
void trmm(sycl::queue &queue,
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)
}
namespace oneapi::mkl::blas::row_major {
void trmm(sycl::queue &queue,
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 matrix-matrix product.
- 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
alpha
* op(A
) *B
ifleft_right
=side::left
oralpha
*B
* op(A
) ifleft_right
=side::right
.Note
If
alpha
= 0, matrixB
is set to zero, andA
andB
do not need to be initialized at entry.trmm (USM Version)¶
Syntax¶
namespace oneapi::mkl::blas::column_major { sycl::event trmm(sycl::queue &queue, 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 trmm(sycl::queue &queue, 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 matrix-matrix product.
- 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
alpha
* op(A
) *B
ifleft_right
=side::left
oralpha
*B
* op(A
) ifleft_right
=side::right
.Note
If
alpha
= 0, matrixB
is set to zero, andA
andB
do not need to be initialized at entry.Return Values¶
Output event to wait on to ensure computation is complete.