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<h1 title="Package" class="title">Package&nbsp;org.apache.sysds.runtime.data</h1>
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<th class="colFirst" scope="row"><a href="BasicTensorBlock.html" title="class in org.apache.sysds.runtime.data">BasicTensorBlock</a></th>
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<th class="colFirst" scope="row"><a href="DenseBlock.html" title="class in org.apache.sysds.runtime.data">DenseBlock</a></th>
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<div class="block">This DenseBlock is an abstraction for different dense, row-major
matrix formats.</div>
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<th class="colFirst" scope="row"><a href="DenseBlockLDRB.html" title="class in org.apache.sysds.runtime.data">DenseBlockLDRB</a></th>
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<div class="block">Dense Large Row Blocks have multiple 1D arrays (blocks), which contain complete rows.</div>
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<th class="colFirst" scope="row"><a href="SparseBlock.html" title="class in org.apache.sysds.runtime.data">SparseBlock</a></th>
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<div class="block">This SparseBlock is an abstraction for different sparse matrix formats.</div>
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<th class="colFirst" scope="row"><a href="SparseBlockCOO.html" title="class in org.apache.sysds.runtime.data">SparseBlockCOO</a></th>
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<div class="block">SparseBlock implementation that realizes a traditional 'coordinate matrix'
representation, where the entire sparse block is stored as triples in three arrays:
row indexes, column indexes, and values, where row indexes and colunm indexes are
sorted in order to allow binary search.</div>
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<th class="colFirst" scope="row"><a href="SparseBlockCSR.html" title="class in org.apache.sysds.runtime.data">SparseBlockCSR</a></th>
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<div class="block">SparseBlock implementation that realizes a traditional 'compressed sparse row'
representation, where the entire sparse block is stored as three arrays: ptr
of length rlen+1 to store offsets per row, and indexes/values of length nnz
to store column indexes and values of non-zero entries.</div>
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<div class="block">SparseBlock implementation that realizes a 'modified compressed sparse row'
representation, where each compressed row is stored as a separate SparseRow
object which provides flexibility for unsorted row appends without the need
for global reshifting of values/indexes but it incurs additional memory
overhead per row for object/array headers per row which also slows down
memory-bound operations due to higher memory bandwidth requirements.</div>
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<th class="colFirst" scope="row"><a href="SparseRow.html" title="class in org.apache.sysds.runtime.data">SparseRow</a></th>
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<div class="block">Base class for sparse row implementations such as sparse
row vectors and sparse scalars (single value per row).</div>
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<th class="colFirst" scope="row"><a href="TensorBlock.html" title="class in org.apache.sysds.runtime.data">TensorBlock</a></th>
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<div class="block">A <code>TensorBlock</code> is the most top level representation of a tensor.</div>
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<th class="colFirst" scope="row"><a href="TensorIndexes.html" title="class in org.apache.sysds.runtime.data">TensorIndexes</a></th>
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<div class="block">This represent the indexes to the blocks of the tensor.</div>
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