Class DenseCooFieldMatMult

java.lang.Object
org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult
public final class DenseCooFieldMatMult extends Object
This utility class provides low level methods for computing the matrix multiplication between a sparse/dense matrix and dense/sparse matrix/vector.

  • Method Summary

    Modifier and Type
    Method
    Description
    static <T extends Field<T>>
    void
    blockedVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
    Computes the dense matrix sparse vector multiplication using a blocked algorithm.
    static <T extends Field<T>>
    void
    concurrentBlockedVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
    Computes the dense matrix sparse vector multiplication using a blocked algorithm.
    static <T extends Field<T>>
    void
    concurrentStandard(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
    Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a concurrent standard algorithm.
    static <T extends Field<T>>
    void
    concurrentStandard(T[] src1, Shape shape1, T[] src2, int[] rowIndices, int[] colIndices, Shape shape2, T[] dest)
    Computes the matrix multiplication between a real dense matrix and a real sparse matrix using a concurrent standard algorithm.
    static <T extends Field<T>>
    void
    concurrentStandardVector(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
    Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
    static <T extends Field<T>>
    void
    concurrentStandardVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
    Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
    static <T extends Field<T>>
    void
    standard(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
    Computes the matrix multiplication between a sparse COO matrix and a dense matrix using a standard algorithm.
    static <T extends Field<T>>
    void
    standard(T[] src1, Shape shape1, T[] src2, int[] rowIndices, int[] colIndices, Shape shape2, T[] dest)
    Computes the matrix multiplication between a dense matrix and a sparse COO matrix using a standard algorithm.
    static <T extends Field<T>>
    void
    standardVector(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
    Computes the sparse matrix dense vector multiplication using a standard algorithm.
    static <T extends Field<T>>
    void
    standardVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
    Computes the dense matrix sparse vector multiplication using a standard algorithm.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Method Details

    • standard

      public static <T extends Field<T>> void standard(T[] src1, Shape shape1, T[] src2, int[] rowIndices, int[] colIndices, Shape shape2, T[] dest)
      Computes the matrix multiplication between a dense matrix and a sparse COO matrix using a standard algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse matrix.
      rowIndices - Row indices for non-zero data of the sparse matrix.
      colIndices - Column indices for non-zero data of the sparse matrix.
      shape2 - Shape of the sparse matrix.
      dest - Array to store the dense result of the matrix multiplication.

    • standard

      public static <T extends Field<T>> void standard(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
      Computes the matrix multiplication between a sparse COO matrix and a dense matrix using a standard algorithm.
      Parameters:
      src1 - Non-zero data of the sparse matrix.
      rowIndices - Row indices for non-zero data of the sparse matrix.
      colIndices - Column indices for non-zero data of the sparse matrix.
      shape1 - Shape of the sparse matrix.
      src2 - Entries of the dense matrix.
      shape2 - Shape of the dense matrix.
      dest - Array to store the dense result of the matrix multiplication.

    • concurrentStandard

      public static <T extends Field<T>> void concurrentStandard(T[] src1, Shape shape1, T[] src2, int[] rowIndices, int[] colIndices, Shape shape2, T[] dest)
      Computes the matrix multiplication between a real dense matrix and a real sparse matrix using a concurrent standard algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse matrix.
      rowIndices - Row indices for non-zero data of the sparse matrix.
      colIndices - Column indices for non-zero data of the sparse matrix.
      shape2 - Shape of the sparse matrix.
      dest - Array to store the dense result of the matrix multiplication.

    • concurrentStandard

      public static <T extends Field<T>> void concurrentStandard(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
      Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a concurrent standard algorithm.
      Parameters:
      src1 - Non-zero data of the sparse matrix.
      rowIndices - Row indices for non-zero data of the sparse matrix.
      colIndices - Column indices for non-zero data of the sparse matrix.
      shape1 - Shape of the sparse matrix.
      src2 - Entries of the dense matrix.
      shape2 - Shape of the dense matrix.

    • standardVector

      public static <T extends Field<T>> void standardVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
      Computes the dense matrix sparse vector multiplication using a standard algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse vector.
      indices - Indices of non-zero data in sparse vector.
      dest - Array to store the dense result of the matrix-vector multiplication.

    • standardVector

      public static <T extends Field<T>> void standardVector(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
      Computes the sparse matrix dense vector multiplication using a standard algorithm.
      Parameters:
      src1 - Entries of the sparse matrix.
      rowIndices - Row indices of non-zero data in sparse matrix.
      colIndices - Column indices of non-zero data in sparse matrix.
      shape1 - Shape of the sparse matrix.
      src2 - Entries of the dense vector.
      shape2 - Shape of the dense vector.
      dest - Array to store the dense result of the matrix-vector multiplication.

    • blockedVector

      public static <T extends Field<T>> void blockedVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
      Computes the dense matrix sparse vector multiplication using a blocked algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse vector.
      indices - Indices of non-zero data in sparse vector.
      dest - Array to store the dense result of the matrix-vector multiplication.

    • concurrentStandardVector

      public static <T extends Field<T>> void concurrentStandardVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
      Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse vector.
      indices - Indices of non-zero data in sparse vector.
      dest - Array to store the dense result of the matrix-vector multiplication.

    • concurrentStandardVector

      public static <T extends Field<T>> void concurrentStandardVector(T[] src1, int[] rowIndices, int[] colIndices, Shape shape1, T[] src2, Shape shape2, T[] dest)
      Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
      Parameters:
      src1 - Entries of the sparse matrix.
      rowIndices - Row indices of non-zero data in sparse matrix.
      colIndices - Column indices of non-zero data in sparse matrix.
      shape1 - Shape of the sparse matrix.
      src2 - Entries of the dense vector.
      shape2 - Shape of the dense vector.
      dest - Array to store the dense result of the matrix-vector multiplication.

    • concurrentBlockedVector

      public static <T extends Field<T>> void concurrentBlockedVector(T[] src1, Shape shape1, T[] src2, int[] indices, T[] dest)
      Computes the dense matrix sparse vector multiplication using a blocked algorithm.
      Parameters:
      src1 - Entries of the dense matrix.
      shape1 - Shape of the dense matrix.
      src2 - Non-zero data of the sparse vector.
      indices - Indices of non-zero data in sparse vector.
      dest - Array to store the dense result of the matrix-vector multiplication.