Uses of Class
org.apache.sysml.runtime.instructions.gpu.context.CSRPointer

Packages that use CSRPointer

Package	Description
org.apache.sysml.runtime.instructions.gpu.context
org.apache.sysml.runtime.matrix.data

Uses of CSRPointer in org.apache.sysml.runtime.instructions.gpu.context

Methods in org.apache.sysml.runtime.instructions.gpu.context that return CSRPointer

Modifier and Type	Method and Description
static CSRPointer	CSRPointer.allocateEmpty(GPUContext gCtx, long nnz2, long rows) Factory method to allocate an empty CSR Sparse matrix on the GPU
static CSRPointer	CSRPointer.allocateForDgeam(GPUContext gCtx, jcuda.jcusparse.cusparseHandle handle, CSRPointer A, CSRPointer B, int m, int n) Estimates the number of non zero elements from the results of a sparse cusparseDgeam operation C = a op(A) + b op(B)
static CSRPointer	CSRPointer.allocateForMatrixMultiply(GPUContext gCtx, jcuda.jcusparse.cusparseHandle handle, CSRPointer A, int transA, CSRPointer B, int transB, int m, int n, int k) Estimates the number of non-zero elements from the result of a sparse matrix multiplication C = A * B and returns the CSRPointer to C with the appropriate GPU memory.
CSRPointer	CSRPointer.clone(int rows)
static CSRPointer	GPUObject.columnMajorDenseToRowMajorSparse(GPUContext gCtx, jcuda.jcusparse.cusparseHandle cusparseHandle, jcuda.Pointer densePtr, int rows, int cols) Convenience method to convert a CSR matrix to a dense matrix on the GPU Since the allocated matrix is temporary, bookkeeping is not updated.
CSRPointer	GPUObject.getJcudaSparseMatrixPtr() Pointer to sparse matrix
CSRPointer	GPUObject.getSparseMatrixCudaPointer() Convenience method to directly examine the Sparse matrix on GPU

Methods in org.apache.sysml.runtime.instructions.gpu.context with parameters of type CSRPointer

Modifier and Type	Method and Description
static CSRPointer	CSRPointer.allocateForDgeam(GPUContext gCtx, jcuda.jcusparse.cusparseHandle handle, CSRPointer A, CSRPointer B, int m, int n) Estimates the number of non zero elements from the results of a sparse cusparseDgeam operation C = a op(A) + b op(B)
static CSRPointer	CSRPointer.allocateForMatrixMultiply(GPUContext gCtx, jcuda.jcusparse.cusparseHandle handle, CSRPointer A, int transA, CSRPointer B, int transB, int m, int n, int k) Estimates the number of non-zero elements from the result of a sparse matrix multiplication C = A * B and returns the CSRPointer to C with the appropriate GPU memory.
static void	CSRPointer.copyPtrToHost(CSRPointer src, int rows, long nnz, int[] rowPtr, int[] colInd) Static method to copy a CSR sparse matrix from Device to host
static void	CSRPointer.copyToDevice(GPUContext gCtx, CSRPointer dest, int rows, long nnz, int[] rowPtr, int[] colInd, double[] values) Static method to copy a CSR sparse matrix from Host to Device
void	GPUObject.setSparseMatrixCudaPointer(CSRPointer sparseMatrixPtr) Convenience method to directly set the sparse matrix on GPU Needed for operations like cusparseDcsrgemm(cusparseHandle, int, int, int, int, int, cusparseMatDescr, int, Pointer, Pointer, Pointer, cusparseMatDescr, int, Pointer, Pointer, Pointer, cusparseMatDescr, Pointer, Pointer, Pointer)

Uses of CSRPointer in org.apache.sysml.runtime.matrix.data

Methods in org.apache.sysml.runtime.matrix.data that return CSRPointer

Modifier and Type	Method and Description
protected static CSRPointer	LibMatrixCUDA.getSparsePointer(GPUContext gCtx, org.apache.sysml.runtime.controlprogram.caching.MatrixObject input, String instName) Convenience method to get the sparse matrix pointer from a MatrixObject.

Methods in org.apache.sysml.runtime.matrix.data with parameters of type CSRPointer

Modifier and Type	Method and Description
protected static void	LibMatrixCUDA.sliceSparseDense(GPUContext gCtx, String instName, CSRPointer inPointer, jcuda.Pointer outPointer, int rl, int ru, int cl, int cu, int inClen) Perform slice operation on sparse input and output it in dense format