Scilab Tutorials for Computational Science Graeme Chandler and Stephen Roberts Contents 1 Introduction to Scilab 1.1 Introduction . . . . . . . . . 1.2 Login . . . . . .…

Slide 1 CS 240A: Solving Ax = b in parallel Dense A: Gaussian elimination with partial pivoting (LU) Same flavor as matrix * matrix, but more complicated Sparse A: Gaussian…

Slide 1CS240A: Computation on Graphs Slide 2 Graphs and Sparse Matrices 1 1 1 2 1 1 1 3 1 1 1 4 1 1 5 1 1 6 1 1 1 2 3 4 5 6 3 6 2 1 5 4 Sparse matrix is a representation…

Administrivia: October 5, 2009 Homework 1 due Wednesday Reading in Davis: Skim section 6.1 (the fill bounds will make more sense next week) Read section 6.2, and chapter…

Support-Graph Preconditioning Sparse Column Cholesky Factorization for j = 1 : n L(j:n, j) = A(j:n, j); for k < j with L(j, k) nonzero % sparse cmod(j,k) L(j:n, j) = L(j:n,…

Administrivia: October 5, 2009 Homework 1 due Wednesday Reading in Davis: Skim section 6.1 (the fill bounds will make more sense next week) Read section 6.2, and chapter…

Support-Graph Preconditioning CS240A: Computation on Graphs CS267 Lecture 2 1 P0 P1 P2 Pn Row-wise decomposition Each processor stores: # of local edges (nonzeros) range…

Support-Graph Preconditioning Sparse Column Cholesky Factorization for j = 1 : n L(j:n, j) = A(j:n, j); for k < j with L(j, k) nonzero % sparse cmod(j,k) L(j:n, j) = L(j:n,…