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GHOST
1.1.2
General, Hybrid, and Optimized Sparse Toolkit
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GHOST
1.1.2
General, Hybrid, and Optimized Sparse Toolkit
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A sparse matrix. More...
#include <sparsemat.h>
Public Attributes | |
| ghost_sparsemat_traits | traits |
| The matrix' traits. More... | |
| ghost_sparsemat_traits | splittraits [2] |
| The local and remote part's traits. More... | |
| ghost_sparsemat * | localPart |
| The local part of the matrix (if distributed). More... | |
| ghost_sparsemat * | remotePart |
| The remote part (i.e., the part which has remote column indices) of the matrix (if distributed). More... | |
| ghost_context * | context |
| The context of the matrix (if distributed). More... | |
| char * | name |
| The matrix' name. More... | |
| char * | val |
| The values. More... | |
| ghost_lidx * | col |
| The column indices. More... | |
| ghost_lidx * | chunkStart |
| Pointer to start of each chunk. More... | |
| ghost_lidx * | chunkMin |
| Minimal row length in a chunk. More... | |
| ghost_lidx * | chunkLen |
| The length of each chunk. More... | |
| ghost_lidx * | chunkLenPadded |
| Needed if T>1. More... | |
| ghost_lidx * | rowLen |
| Length of each row. More... | |
| ghost_lidx * | rowLen4 |
| Longest length of each quadruple of rows. More... | |
| ghost_lidx * | rowLen2 |
| Longest length of each tuple of rows. More... | |
| ghost_lidx * | rowLenPadded |
| Needed if T>1. More... | |
| char * | cu_val |
| The CUDA matrix. More... | |
| ghost_lidx * | cu_col |
| The column indices. More... | |
| ghost_lidx * | cu_rowLen |
| The length of each row. More... | |
| ghost_lidx * | cu_rowLenPadded |
| Needed if T>1. More... | |
| ghost_lidx * | cu_chunkStart |
| Pointer to start of each chunk. More... | |
| ghost_lidx * | cu_chunkLen |
| The length of each chunk. More... | |
| size_t | elSize |
| Size (in bytes) of one matrix element. More... | |
| ghost_gidx * | col_orig |
| The original column indices of the matrix. More... | |
| ghost_lidx | nEnts |
| The number of rows. More... | |
| double | avgRowBand |
| The average width of the rows wrt. the diagonal. More... | |
| double | avgAvgRowBand |
| The average of the average width of the rows wrt. the diagonal. More... | |
| double | smartRowBand |
| A smart value quantifying the matrix bandwidth. Currently the 90-percentile of the 90-percentile of all widths. More... | |
| ghost_gidx | maxRowLen |
| The maximum row length. TODO: This sould be a ghost_lidx, right? More... | |
| ghost_gidx | nMaxRows |
| The number of rows with length maxRowLen. More... | |
| double | variance |
| Row length variance. More... | |
| double | deviation |
| Row length standard deviation. More... | |
| double | cv |
| Row length coefficient of variation. More... | |
| ghost_gidx * | nzDist |
| Array of length (2*nrows-1) with nzDist[i] = number nonzeros with distance i from diagonal. More... | |
| ghost_lidx | nchunks |
A sparse matrix.
The according functions act locally and are accessed via function pointers. The first argument of each member function always has to be a pointer to the vector itself.
| double ghost_sparsemat::avgAvgRowBand |
The average of the average width of the rows wrt. the diagonal.
| double ghost_sparsemat::avgRowBand |
The average width of the rows wrt. the diagonal.
| ghost_lidx* ghost_sparsemat::chunkLen |
The length of each chunk.
| ghost_lidx* ghost_sparsemat::chunkLenPadded |
Needed if T>1.
| ghost_lidx* ghost_sparsemat::chunkMin |
Minimal row length in a chunk.
| ghost_lidx* ghost_sparsemat::chunkStart |
Pointer to start of each chunk.
| ghost_lidx* ghost_sparsemat::col |
The column indices.
| ghost_gidx* ghost_sparsemat::col_orig |
The original column indices of the matrix.
Once a matrix gets distributed, the column indices of the matrix are being compressed. That means, the local part of the matrix comes first and the remote part's column indices (compresed) thereafter. If the flag GHOST_SPARSEMAT_SAVE_ORIG_COLS is set, the original (un-compressed) column indices are stored in this variable. This is only necessary if, e.g., a distributed matrix should be written out to a file.
| ghost_context* ghost_sparsemat::context |
The context of the matrix (if distributed).
| ghost_lidx* ghost_sparsemat::cu_chunkLen |
The length of each chunk.
| ghost_lidx* ghost_sparsemat::cu_chunkStart |
Pointer to start of each chunk.
| ghost_lidx* ghost_sparsemat::cu_col |
The column indices.
| ghost_lidx* ghost_sparsemat::cu_rowLen |
The length of each row.
| ghost_lidx* ghost_sparsemat::cu_rowLenPadded |
Needed if T>1.
| char* ghost_sparsemat::cu_val |
The CUDA matrix.
The values.
| double ghost_sparsemat::cv |
Row length coefficient of variation.
| double ghost_sparsemat::deviation |
Row length standard deviation.
| size_t ghost_sparsemat::elSize |
Size (in bytes) of one matrix element.
| ghost_sparsemat* ghost_sparsemat::localPart |
The local part of the matrix (if distributed).
| ghost_gidx ghost_sparsemat::maxRowLen |
The maximum row length. TODO: This sould be a ghost_lidx, right?
| char* ghost_sparsemat::name |
The matrix' name.
| ghost_lidx ghost_sparsemat::nchunks |
| ghost_lidx ghost_sparsemat::nEnts |
The number of rows.
The padded number of rows.
In the SELL data format, the number of rows is padded to a multiple of C. The number of columns. The number of non-zero entries in the matrix. The number of stored entries in the matrix.
For CRS or SELL-1, this is equal to nnz.
| ghost_gidx ghost_sparsemat::nMaxRows |
The number of rows with length maxRowLen.
| ghost_gidx* ghost_sparsemat::nzDist |
Array of length (2*nrows-1) with nzDist[i] = number nonzeros with distance i from diagonal.
| ghost_sparsemat* ghost_sparsemat::remotePart |
The remote part (i.e., the part which has remote column indices) of the matrix (if distributed).
| ghost_lidx* ghost_sparsemat::rowLen |
Length of each row.
Especially useful in SELL-1 kernels.
| ghost_lidx* ghost_sparsemat::rowLen2 |
Longest length of each tuple of rows.
| ghost_lidx* ghost_sparsemat::rowLen4 |
Longest length of each quadruple of rows.
| ghost_lidx* ghost_sparsemat::rowLenPadded |
Needed if T>1.
| double ghost_sparsemat::smartRowBand |
A smart value quantifying the matrix bandwidth. Currently the 90-percentile of the 90-percentile of all widths.
| ghost_sparsemat_traits ghost_sparsemat::splittraits[2] |
The local and remote part's traits.
| ghost_sparsemat_traits ghost_sparsemat::traits |
The matrix' traits.
| char* ghost_sparsemat::val |
The values.
| double ghost_sparsemat::variance |
Row length variance.
1.8.6