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Update docs for allocate/deallocate _wrk
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@@ -845,9 +845,10 @@ This method computes $y = op(B^{-1})\, x$, where $B$ is a previously built
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preconditioner, stored into \fortinline|p|, and $op$
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denotes the preconditioner itself or its transpose, according to
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the value of \fortinline|trans|.
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Note that, when AMG4PSBLAS is used with a Krylov solver from PSBLAS,
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Note that, when AMG4PSBLAS is used with am iterative solver from PSBLAS,
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\fortinline|p%apply| is called within the PSBLAS method \fortinline|psb_krylov|
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and hence it is completely transparent to the user.
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and hence it is completely transparent to the user, who will almost
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never invoke it directly.
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{\vskip1.5\baselineskip\noindent\large\bfseries Arguments} \smallskip
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@@ -1002,12 +1003,12 @@ Return memory footprint in bytes.
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Allocate internal work vectors. Each application of the preconditioner
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uses a number of work vectors which are allocated internally as
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necessary; therefore allocation and deallocation of memory occurs
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multiple times during the execution of a Krylov method. In most cases
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multiple times during the execution of an iterative method. In most cases
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this strategy is perfectly acceptable, but
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on some platforms, most notably GPUs, memory allocation is
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a slow operation, and the default behaviour would lead to a
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slowdown. This method allows to trade space for time by preallocating
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the internal workspace outside of the invocation of a Krylov
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the internal workspace outside of the invocation of a linear solver
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method. When using GPUs or other specialized devices, the \fortinline|vmold|
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argument is also necessary to ensure the internal work vectors are of
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the appropriate dynamic type to exploit the accelerator hardware; when
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@@ -1029,7 +1030,8 @@ type of the \fortinline|x| argument to the \fortinline|apply| method.
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\subsubsection{Method: deallocate\_wrk}
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\begin{center}
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\fortinline|call p%deallocate_wrk(info)|\\
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\fortinline|call p%deallocate_wrk(info)|\\
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\fortinline|call p%free_wrk(info)|\\
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\end{center}
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\noindent
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