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@@ -274,6 +274,9 @@ prefixes-as-symbols=false,
 
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+\thispagestyle{empty}
+\addtocounter{page}{-1}
+
 \tableofcontents
 
 \newpage
@@ -306,11 +309,16 @@ The class \texttt{Stencil} holds both the parallel implementation using the Fast
 
 The class \texttt{Reader} reads a binary file composed of 4 bytes representing the number of rows, 4 bytes representing the number of columns and then the raw matrix data. Each element is a \texttt{char} in all the test cases. The result is stored in the class \texttt{Task} which will be passed to the next node. If instead the operator \texttt{()} is called, only the data will be returned as a pointer.
 
-The \texttt{Task} class can support matrices of different element type rather than \texttt{char}.
+The \texttt{Task} class can support matrices of different element type other than \texttt{char}.
 
 The \texttt{Writer} instead writes to disk the task to the same folder, overwriting existing files if present.
 
 The \texttt{Stencil} class divides the matrix in roughly equal parts and distributes them to other workers.
+Since the ammount of work for simple stencil functions is roughly equal between blocks of columns, the matrix is split into equal blocks and each block is processed by a different worker.
+The result is stored in a copy of the original matrix and the pointers swapped at the end of each iteration.
+Since a neighbourhood of columns is needed for the next iteration, the simplest solution of waiting for all workers has been implemented.
+A countiguous block of columns reduces the probability of false sharing.
+The loops of the workers thread cannot be vectorized by the compiler since the stencil function may be calling library functions or use conditional statements.
 
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 \subsection{Native C++ Threads}