Contents

# imatcopy

Computes an in-place scaled matrix transpose or copy operation using a general matrix.

## Description

The
imatcopy
routine performs an in-place scaled matrix copy or transposition. The operation is defined as:
where:
• op(
X
) is one of op(
X
) =
X
, or op(
X
) =
X
T
, or op(
X
) =
X
H
• alpha
is a scalar
• AB
is a matrix
• AB
is
m
x
n
on input.
imatcopy
supports the following precisions:
T
float
double
std::complex<float>
std::complex<double>

## imatcopy (Buffer Version)

Syntax
``````namespace oneapi::mkl::blas::column_major {
void imatcopy(sycl::queue &queue, oneapi::mkl::transpose trans,
std::int64_t m, std::int64_t n,
T alpha, sycl::buffer<T, 1> &ab, std::int64_t lda,
std::int64_t ldb);
}``````
``````namespace oneapi::mkl::blas::row_major {
void imatcopy(sycl::queue &queue, oneapi::mkl::transpose trans,
std::int64_t m, std::int64_t n,
T alpha, sycl::buffer<T, 1> &ab, std::int64_t lda,
std::int64_t ldb);
}``````
Input Parameters
queue
The queue where the routine will be executed.
trans
Specifies op(
AB
), the transposition operation applied to the matrix
AB
. See Data Types for more details.
m
Number of rows for the matrix
AB
on input. Must be at least zero.
n
Number of columns for the matrix
AB
on input. Must be at least zero.
alpha
Scaling factor for the matrix transposition or copy.
ab
Buffer holding the input/output matrix
AB
. Must have size as follows:
trans
=
transpose::nontrans
trans
=
transpose::trans
or
trans
=
transpose::conjtrans
Column major
Size of array
ab
must be at least max(
lda
,
ldb
) *
n
Size of array
ab
must be at least max(
lda
,
ldb
) * max(
m
,
n
)
Row major
Size of array
ab
must be at least max(
lda
,
ldb
) *
m
Size of array
ab
must be at least max(
lda
,
ldb
) * max(
m
,
n
)
lda
AB
on input. If matrices are stored using column major layout,
lda
must be at least
m
. If matrices are stored using row major layout,
lda
must be at least
n
. Must be positive.
ldb
AB
on output. Must be positive.
transb
=
transpose::nontrans
transb
=
transpose::trans
or
trans
=
transpose::conjtrans
Column major
Must be at least
m
Must be at least
n
Row major
Must be at least
n
Must be at least
m
Output Parameters
ab
Output buffer, overwritten by
alpha
* op(
AB
).

## imatcopy (USM Version)

Syntax
USM arrays:
``````namespace oneapi::mkl::blas::column_major {
sycl::event imatcopy(sycl::queue &queue,
oneapi::mkl::transpose trans,
std::int64_t m,
std::int64_t n,
T alpha,
const T *ab,
std::int64_t lda,
std::int64_t ldb,
const std::vector<sycl::event> &dependencies = {});
}``````
``````namespace oneapi::mkl::blas::row_major {
sycl::event imatcopy(sycl::queue &queue,
oneapi::mkl::transpose trans,
std::int64_t m,
std::int64_t n,
T alpha,
const T *ab,
std::int64_t lda,
std::int64_t ldb,
const std::vector<sycl::event> &dependencies = {});
}``````
Input Parameters
queue
The queue where the routine will be executed.
trans
Specifies op(
AB
), the transposition operation applied to the matrix
AB
. See Data Types for more details.
m
Number of rows for the matrix
AB
on input. Must be at least zero.
n
Number of columns for the matrix
AB
on input. Must be at least zero.
alpha
Scaling factor for the matrix transposition or copy.
ab
Pointer to input/output matrix
AB
. Must have size as follows:
trans
=
transpose::nontrans
trans
=
transpose::trans
or
trans
=
transpose::conjtrans
Column major
Size of array
ab
must be at least max(
lda
,
ldb
) *
n
Size of array
ab
must be at least max(
lda
,
ldb
) * max(
m
,
n
)
Row major
Size of array
ab
must be at least max(
lda
,
ldb
) *
m
Size of array
ab
must be at least max(
lda
,
ldb
) * max(
m
,
n
)
lda
AB
on input. If matrices are stored using column major layout,
lda
must be at least
m
. If matrices are stored using row major layout,
lda
must be at least
n
. Must be positive.
ldb
AB
on output. Must be positive.
transb
=
transpose::nontrans
transb
=
transpose::trans
or
trans
=
transpose::conjtrans
Column major
Must be at least
m
Must be at least
n
Row major
Must be at least
n
Must be at least
m
dependencies
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters
ab
Pointer to output matrix
AB
overwritten by
alpha
* op(
AB
).
Return Values
Output event to wait for to ensure computation is complete.

#### Product and Performance Information

1

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