This draft pull request introduces an extension to the EwBinaryMat and EwUnaryMat kernels to support efficient operations for matrix addition between dense and sparse matrices (see issue #811). The following kernels have been added:
EwBinaryMat Kernels:
DenseMatrix <- CSRMatrix, DenseMatrix
DenseMatrix <- DenseMatrix, CSRMatrix
CSRMatrix <- CSRMatrix, DenseMatrix
EwUnaryMat Kernels:
CSRMatrix <- CSRMatrix
Implementation Details
As part of this implementation, a resize method was added to the CSRMatrix class to dynamically handle the reallocation of memory when the number of non-zero elements exceeds the initially allocated space.
Questions Regarding resize Method Implementation
The resize method is essential for managing dynamic memory allocation within sparse matrices, especially when the number of non-zero elements increases during operations.
Comparison with Dense Matrices: In some scenarios, the memory usage of a CSR matrix may approach or even exceed that of a dense matrix, particularly when the matrix is nearly dense or when the overhead from storing indices becomes significant. Is it advisable to dynamically adjust the size of the CSR matrix in these cases, considering that the most efficient representation should have already been chosen in a previous compiler pass?
Alternative Approaches: Are there alternative methods that could offer more efficiency in handling dynamic resizing, especially in the context of sparse matrices?
Overview
This draft pull request introduces an extension to the
EwBinaryMatandEwUnaryMatkernels to support efficient operations for matrix addition between dense and sparse matrices (see issue #811). The following kernels have been added:EwBinaryMat Kernels:
DenseMatrix <- CSRMatrix, DenseMatrixDenseMatrix <- DenseMatrix, CSRMatrixCSRMatrix <- CSRMatrix, DenseMatrixEwUnaryMat Kernels:
CSRMatrix <- CSRMatrixImplementation Details
As part of this implementation, a
resizemethod was added to theCSRMatrixclass to dynamically handle the reallocation of memory when the number of non-zero elements exceeds the initially allocated space.Questions Regarding
resizeMethod ImplementationThe
resizemethod is essential for managing dynamic memory allocation within sparse matrices, especially when the number of non-zero elements increases during operations.Comparison with Dense Matrices: In some scenarios, the memory usage of a CSR matrix may approach or even exceed that of a dense matrix, particularly when the matrix is nearly dense or when the overhead from storing indices becomes significant. Is it advisable to dynamically adjust the size of the CSR matrix in these cases, considering that the most efficient representation should have already been chosen in a previous compiler pass?
Alternative Approaches: Are there alternative methods that could offer more efficiency in handling dynamic resizing, especially in the context of sparse matrices?