Developer Guide for Intel® Data Analytics Acceleration Library 2018

Engines

Random number engines generate uniformly distributed random numbers by using a seed - the initial value that allows to select a particular random number sequence. Initialization is an engine-specific procedure.

Algorithm Input

Engines accept the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.

Input ID

Input

tableToFill

Pointer to the numeric table of size nxp.

This input can be an object of any class derived from NumericTable except CSRNumericTable, PackedSymmetricMatrix, PackedTriangularMatrix, and MergedNumericTable when it holds one of the above table types.

Algorithm Output

Engines calculate the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.

Result ID

Result

randomNumbers

Pointer to the nxp numeric table with algorithm results. In Intel DAAL, engines are in-place, which means that the algorithm does not allocate memory for the distribution result, but returns pointer to the filled input.

Note

The current version of the library does not support generation of uniformly distributed random numbers.