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The matrix computations such as matrix-vector and matrix multiplication are very challenging computational kernels arising in scientific computing. In this paper, we study and evaluate a number of different data decomposition schemes for matrix computations on multicore architectures using OpenMP programming model. Further, in this work we propose a simple and fast analytical model to predict the...
Recent developments in high performance computer architecture have a significant effect on all fields of scientific computing. Linear algebra and especially the solution of linear systems of equations lies at the heart of many applications in scientific computing. This paper describes and analyzes three parallel versions of the dense LU factorization method that is used in linear system solving on...
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