org.apache.sysds.hops.estim

## Class EstimatorBitsetMM

- java.lang.Object
- - org.apache.sysds.hops.estim.SparsityEstimator
  - - org.apache.sysds.hops.estim.EstimatorBitsetMM

-     public class EstimatorBitsetMM
      extends SparsityEstimator

  This estimator implements a naive but rather common approach of boolean matrix multiplies which allows to infer the exact non-zero structure and thus is also useful for sparse result preallocation. For example, the following paper indicates that this approach is used for sparse spGEMM in NVIDIA cuSPARSE and Intel MKL: Weifeng Liu and Brian Vinter. An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data. In IPDPS, pages 370–381, 2014.

- - ### Nested Class Summary

    Nested Classes
    Modifier and Type | Class and Description
    --- | ---
    `static class` | `EstimatorBitsetMM.BitsetMatrix`
    `static class` | `EstimatorBitsetMM.BitsetMatrix1` This class represents a boolean matrix and provides key operations.
    `static class` | `EstimatorBitsetMM.BitsetMatrix2`

    - ### Nested classes/interfaces inherited from class org.apache.sysds.hops.estim.SparsityEstimator

      `SparsityEstimator.OpCode`

  - ### Field Summary

    - ### Fields inherited from class org.apache.sysds.hops.estim.SparsityEstimator

      `MIN_PAR_THRESHOLD, MULTI_THREADED_BUILD, MULTI_THREADED_ESTIM`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `EstimatorBitsetMM()`

  - ### Method Summary

    All Methods Static Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `static EstimatorBitsetMM.BitsetMatrix` | `createBitset(int m, int n)`
    `static EstimatorBitsetMM.BitsetMatrix` | `createBitset(MatrixBlock in)`
    `double` | `estim(MatrixBlock m1, MatrixBlock m2)` Estimates the output sparsity for a single matrix multiplication.
    `double` | `estim(MatrixBlock m1, MatrixBlock m2, SparsityEstimator.OpCode op)` Estimates the output sparsity for a given binary operation.
    `double` | `estim(MatrixBlock m, SparsityEstimator.OpCode op)` Estimates the output sparsity for a given unary operation.
    `DataCharacteristics` | `estim(MMNode root)` Estimates the output sparsity of a DAG of matrix multiplications for the given operator graph of a single root node.

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### EstimatorBitsetMM

          public EstimatorBitsetMM()

  - ### Method Detail

    - #### estim

          public DataCharacteristics estim(MMNode root)

      Description copied from class: `SparsityEstimator`
      Estimates the output sparsity of a DAG of matrix multiplications for the given operator graph of a single root node.
      Specified by:
        `estim` in class `SparsityEstimator`
      Parameters:
        `root` - DAG root node
      Returns:
        output data characteristics

    - #### estim

          public double estim(MatrixBlock m1,
                              MatrixBlock m2)

      Description copied from class: `SparsityEstimator`
      Estimates the output sparsity for a single matrix multiplication.
      Specified by:
        `estim` in class `SparsityEstimator`
      Parameters:
        `m1` - left-hand-side operand
        `m2` - right-hand-side operand
      Returns:
        sparsity

    - #### estim

          public double estim(MatrixBlock m1,
                              MatrixBlock m2,
                              SparsityEstimator.OpCode op)

      Description copied from class: `SparsityEstimator`
      Estimates the output sparsity for a given binary operation.
      Specified by:
        `estim` in class `SparsityEstimator`
      Parameters:
        `m1` - left-hand-side operand
        `m2` - right-hand-side operand
        `op` - operator code
      Returns:
        sparsity

    - #### estim

          public double estim(MatrixBlock m,
                              SparsityEstimator.OpCode op)

      Description copied from class: `SparsityEstimator`
      Estimates the output sparsity for a given unary operation.
      Specified by:
        `estim` in class `SparsityEstimator`
      Parameters:
        `m` - left-hand-side operand
        `op` - operator code
      Returns:
        sparsity

    - #### createBitset

          public static EstimatorBitsetMM.BitsetMatrix createBitset(int m,
                                                                    int n)

    - #### createBitset

          public static EstimatorBitsetMM.BitsetMatrix createBitset(MatrixBlock in)

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