geru¶
Computes a rank-1 update (unconjugated) of a general complex matrix.
Syntax
-
void
geru(queue &exec_queue, std::int64_t m, std::int64_t n, T alpha, buffer<T, 1> &x, std::int64_t incx, buffer<T, 1> &y, std::int64_t incy, buffer<T, 1> &a, std::int64_t lda)¶
geru supports the following precisions and devices.
T |
Devices Supported |
|---|---|
|
Host, CPU, and GPU |
|
Host, CPU, and GPU |
Description
The geru routines routines compute a scalar-vector-vector product and add the result to a general matrix. The operation is defined as
A <- alpha*x*yT + A
where:
alpha is a scalar,
A is an m-by-n matrix,
x is a vector of length m,
y is a vector of length n.
Input Parameters
- exec_queue
The queue where the routine should be executed.
- m
Number of rows of
A. Must be at least zero.- n
Number of columns of
A. Must be at least zero.- alpha
Scaling factor for the matrix-vector product.
- x
Buffer holding input vector
x. The buffer must be of size at least (1 + (m- 1)*abs(incx)). See Matrix and Vector Storage for more details.- incx
Stride of vector
x.- y
Buffer holding input/output vector
y. The buffer must be of size at least (1 + (n- 1)*abs(incy)). See Matrix and Vector Storage for more details.- incy
Stride of vector
y.- a
The array holding input matrix
Amust have size at leastlda*nif column major layout is used, or at leastlda*mif row major layout is used.- lda
Leading dimension of matrix
A. It must be positive and at least m if column major layout is used or at least n if row major layout is used.
Output Parameters
- a
Buffer holding the updated matrix
A.