Class DenseSemiringMatMult
java.lang.Object
org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult
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Method Summary
Modifier and TypeMethodDescriptionstatic <T extends Semiring<T>>
voidComputes the matrix multiplication of two dense matrices using a blocked algorithm.static <T extends Semiring<T>>
voidblockedReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a blocked algorithm with the j-k loops swapped.static <T extends Semiring<T>>
voidblockedVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a blocked algorithm.static <T extends Semiring<T>>
voidconcurrentBlocked(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm.static <T extends Semiring<T>>
voidconcurrentBlockedReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm with the j-k loops swapped.static <T extends Semiring<T>>
voidconcurrentBlockedVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of a blocked algorithm.static <T extends Semiring<T>>
voidconcurrentReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.static <T extends Semiring<T>>
voidconcurrentStandard(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.static <T extends Semiring<T>>
voidconcurrentStandardVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of the standard matrix multiplication algorithm.static <T extends Semiring<T>>
voidComputes the matrix multiplication between two dense matrices using the standard algorithm with j-k loops swapped.static <T extends Semiring<T>>
voidComputes the matrix multiplication between two dense matrices using the standard algorithm.static <T extends Semiring<T>>
voidstandardVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using the standard algorithm.
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Method Details
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standard
public static <T extends Semiring<T>> void standard(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication between two dense matrices using the standard algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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reordered
public static <T extends Semiring<T>> void reordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication between two dense matrices using the standard algorithm with j-k loops swapped.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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blocked
public static <T extends Semiring<T>> void blocked(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a blocked algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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blockedReordered
public static <T extends Semiring<T>> void blockedReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a blocked algorithm with the j-k loops swapped.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentStandard
public static <T extends Semiring<T>> void concurrentStandard(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentReordered
public static <T extends Semiring<T>> void concurrentReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentBlocked
public static <T extends Semiring<T>> void concurrentBlocked(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentBlockedReordered
public static <T extends Semiring<T>> void concurrentBlockedReordered(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm with the j-k loops swapped.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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standardVector
public static <T extends Semiring<T>> void standardVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using the standard algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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blockedVector
public static <T extends Semiring<T>> void blockedVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a blocked algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentStandardVector
public static <T extends Semiring<T>> void concurrentStandardVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of the standard matrix multiplication algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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concurrentBlockedVector
public static <T extends Semiring<T>> void concurrentBlockedVector(T[] src1, Shape shape1, T[] src2, Shape shape2, T[] dest) Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of a blocked algorithm.- Parameters:
src1- Entries of the first matrix.shape1- Shape of the first matrix.src2- Entries of the second matrix.shape2- Shape fo the second matrix.dest- Array to store resulting matrix multiplication in.
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