… While this is useful, there are issues with applying, eg, MDS codes in a straightforward
manner. Several practical matrix computation scenarios involve sparse matrices. MDS codes …

… In this paper, we develop a new coded computation strategy, we call sparse code, which
achieves near optimal re… We also consider 8 sparse matrices from real data sets (Davis & Hu…

… fraction of matrix B, we propose a coded matrix-matrix … partial computations done by the
slower worker nodes; and (iii) enhances the worker computation speed when the “input” matrices …

… arrays used to store non-zero elements of sparse matrices or information about the non-zero …
The first task that has to be solved by a developer of a sparse matrix code is to determine …

… are important for many scientific computations, with matrix-… sparse matrices, the primary
performance limitation on matrix-… code for each matrix, but does not directly encode the matrix …

… The ideas behind MN codes are (1) that we use a sparse … matrix in terms of invertible matrices,
such that the sparse … To compute the probability of error for BCH codes we evaluated the …

… Sparse matrices are widely used in scientific computation, especially in largescale optimization,
structural and circuit analysis, computational fluid … adapted any of their code. MATLAB is …

… from the Harwell-Boeing collection and industrial application codes. Figure 1 summarizes …
tured sparse matrices. These data structures are appropriate in cases where the sparse matrix …

… of a tool package for manipulating and working with sparse matrices. One of the goals of the
… in sparse matrix computations. The starting point is the Harwell/Boeing collection of matrices …

… on Sparse Matrices are the key computational kernels in many … of operations on sparse
matrices we propose a simple and … -coded matrix into blocks of SxS, and take for each SxS block …