Recently, we have introduced an approach to basic sparse matrix computations on multicore cache based machines using recursive partitioning. Here, the memory representation of a sparse matrix consists ...

A design structure matrix (DSM) is a visual analysis tool used for system modeling. Simple and concise, it uses an NxN square matrix to represent the relationships between N system elements. Data ...

The design and implementation of a sparse matrix-matrix multiplication architecture on FPGAs is presented. Performance of the design, in terms of computational latency, as well as the associated power ...

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The non-negative matrix factorization encounters both computational and theoretical challenge with such high-dimensional data, i.e., there is no guarantee for a sparse and part-based representation of ...

We present CheSS, the “Chebyshev Sparse Solvers” library, which has been designed to solve typical problems arising in large-scale electronic structure calculations using localized basis sets. The ...