C++ CUDA-compatible template class that provides an interface for generic purpose matrix related algorithms and computations. Includes Matlab-like functions. This is mainly an example of how to use CUDA code with C++. Don't expect such high performance.

Compute the arccosine of each element retrieved from an input strided array via a callback function.

Round each element in a strided array toward positive infinity.

Compute the absolute value for each element in a strided array.

Apply a function to each element in an array and assign the result to an element in an output array.

Compute the multiplicative inverse for each element in a strided array.

Strided array math operations.

Compute the absolute value of each element retrieved from a strided input array via a callback function and assign each result to an element in a strided output array.

Compute the cube root of each element in a strided array.

Compute the squared absolute value for each element in a strided array.

Compute the Bessel function of the first kind of order zero for each element retrieved from an input strided array via a callback function.

Round each element in a strided array toward zero.

Compute the Bessel function of the second kind of order one for each element retrieved from an input strided array via a callback function.

Element-wise addition of two strided arrays.

Element-wise multiplication of two strided arrays.

Compute the Bessel function of the second kind of order zero for each element retrieved from an input strided array via a callback function.

Round each element in a single-precision floating-point strided array toward positive infinity.

Round each element in a double-precision floating-point strided array toward positive infinity.

Standard library strided math functions.

Compute the arcsine of each element retrieved from an input strided array via a callback function.