JCublasJava/src/main/java/jcuda/jcublas/JCublas.java
public static float cublasSasum(int n, Pointer x, int incx)
    {
        float result = cublasSasumNative(n, x, incx);
        checkResultBLAS();
        return result;
    }
public static float cublasSasum(int n, Pointer x, int incx)
    {
        float result = cublasSasumNative(n, x, incx);
        checkResultBLAS();
        return result;
    }
public static float cublasSasum ( int n , Pointer x , int incx ) { float result = cublasSasumNative ( n , x , incx ) ; checkResultBLAS ( ) ; return result ; }
<pre>
float
cublasSasum (int n, const float *x, int incx)

computes the sum of the absolute values of the elements of single
precision vector x; that is, the result is the sum from i = 0 to n - 1 of
abs(x[1 + i * incx]).

Input
-----
n      number of elements in input vector
x      single precision vector with n elements
incx   storage spacing between elements of x

Output
------
returns the single precision sum of absolute values
(0 if n <= 0 or incx <= 0, or if an error occurs)

Reference: http://www.netlib.org/blas/sasum.f

Error status for this function can be retrieved via cublasGetError().

Error Status
------------
CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
</pre>
<pre > float cublasSasum ( int n const float * x int incx )