From: W. Trevor King Due Friday, November 19 Learn how to implement Gauss-Siedel in parallel. Note: Please identify all your work. This assignment consists in building your own parallel code to
+generate the solution of Poisson equation.
+The Gauss-Siedel
+and SOR algorithms are
+explained in the course web pages. The steps toward a parallel code
+are also explained. Start from the code p.c and
+implement the parallel version. Pay particular attention to minimize
+communications.Assignment #6
+Purpose
+
+
+
+
+
diff --git a/assignments/current/6 b/assignments/current/6
index 9869977..80c8f41 120000
--- a/assignments/current/6
+++ b/assignments/current/6
@@ -1 +1 @@
-../archive/mandelbrot/
\ No newline at end of file
+../archive/poisson
\ No newline at end of file
diff --git a/content/2D_Domain_Decomposition/index.shtml.itex2MML b/content/2D_Domain_Decomposition/index.shtml.itex2MML
index 5094a33..415c185 100644
--- a/content/2D_Domain_Decomposition/index.shtml.itex2MML
+++ b/content/2D_Domain_Decomposition/index.shtml.itex2MML
@@ -169,13 +169,13 @@ identical. This stems from the handling of the GHOST
lines in the parallel implementation.
Consider the update of the field at the location marked 0 below. -The Gauss-Siedel solution calls for an in-place update of the -field via the finite difference formula in a systematic sweep of the -numerical lattice. This is done via the 2D -finite difference formula. The values of the field at the points 2 and -3 have already been updated if the sweep originates from the -upper-left corner of the lattice, while the field at the point 1 and 4 -are yet to be updated.
+The Gauss-Siedel solution calls +for an in-place update of the field via the finite difference +formula in a systematic sweep of the numerical lattice. This is done +via the 2D finite difference formula. The +values of the field at the points 2 and 3 have already been updated if +the sweep originates from the upper-left corner of the lattice, while +the field at the point 1 and 4 are yet to be updated. diff --git a/content/poisson/index.shtml.itex2MML b/content/poisson/index.shtml.itex2MML index e39fbcc..9e84cb8 100644 --- a/content/poisson/index.shtml.itex2MML +++ b/content/poisson/index.shtml.itex2MML @@ -169,9 +169,9 @@ field $u_{i,j}$ at the interior grid points. -The Gauss-Siedel method consists in replacing the new value of the -field within the same "array". This corresponds to the following -form:
+The Gauss-Siedel method consists in replacing the +new value of the field within the same "array". This corresponds to +the following form:
\[ u_{i,j}^{k+1} = @@ -203,7 +203,7 @@ the regions of high curvature of the field and on the ability of the numerical grid to cover the domain.
The Gauss-Siedel method converges faster than the Jacobi -method. Yet it is a notoriously slow method, often requiring very +method. However, it is a notoriously slow method, often requiring very large number of iterations to achieve convergence. A better rate of convergence is achieved by the Succesive Over Relaxation (SOR) method. In this approach, the old and new fields are mixed via a