TIPS(1) 						User Contributed Perl Documentation						   TIPS(1)

NAME

       PDL::Tips - Small tidbits of useful arcana. Programming tidbits and such.

SYNOPSIS

	       use PDL;

	       # Whatever happens here.

DESCRIPTION

       This page documents useful idioms, helpful hints and tips for using Perl Data Language v2.0.

   Help
       Use "help help" within perldl or the "pdldoc" program from the command line for access to the PerlDL documentation.  HTML versions of the
       pages should also be present, in the HtmlDocs/PDL directory of the PDL distribution. To find this directory, try the following

	perldl> foreach ( map{"$_/PDL/HtmlDocs"}@INC ) { p "$_
" if -d $_ }

   Indexing idioms
       The following code normalizes a bunch of vectors in $a.	This works regardless of the dimensionality of $a.

	       $a /= $a->sumover->dummy(0);

   What is actually happening?
       If you want to see what the code is actually doing, try the command

	       PDL::Core::set_debugging(1);

       somewhere. This spews out a huge amount of debug info for PDL into STDOUT. It is planned to eventually make this redirectable and the
       messages selectable more accurately.

       Many of the messages come from "Basic/Core/pdlapi.c" and you can look at the source to see what is going on.

       If you have any extra time to work on these mechanisms, infrom the pdl-porters mailing list.

   Memory savings
       If you are running recursively something that selects certain indices of a large piddle, like

	       while(1) {
		       $inds = where($a>0);
		       $a = $a->index($inds);
		       $b = $b->index($inds);
		       func($b,$a);
	       }

       If you are not writing to $b, it saves a lot of memory to change this to

		       $b = $b->index($inds)->sever;

       The new method "sever" is a causes the write-back relation to be forgotten. It is like copy except it changes the original piddle and
       returns it).

       Of course, the probably best way to do the above is

	       $inds = xvals ($a->long);
	       while(1) {
		       $inds0 = where($a>0);
		       $inds1 = $inds->index($inds)->sever;
		       $a = $a0->index($inds1);
		       $b = $b->index($inds1)->sever;
		       func($b,$a);
	       }

       which doesn't save all the temporary instances of $a in memory.	See "mandel.pl" in the Demos subdirectory of the PerlDL distribution for
       an example.

   PP speed
       If you really want to write speedy PP code, the first thing you need to do is to make sure that your C compiler is allowed to do the
       necessary optimizations.

       What this means is that you have to allow as many variables as possible to go into registers:

	       loop(a) %{
		       $a() += $COMP(foo_member) * $b()
	       %}

       expands to

	       for(i=0; i<10000; i++) {
		       a[i] += __privtrans->foo_member * b[i];
	       }

       is about the worst you can do, since your C compiler is not allowed to assume that "a" doesn't clobber "foo_member" which completely
       inhibits vectorization. Instead, do

	       float foo = $COMP(foo_member);
	       loop(a) %{
		       $a() += foo * $b();
	       %}

       This is not a restriction caused by PP but by ANSI C semantics.	Of course, we could copy the struct into local varibles and back but that
       could cause very strange things sometimes.

       There are many other issues on organizing loops.

       We are currently planning to make PP able to do fixed-width things as well as physical piddles (where looping over the first dimensions
       would be cheaper as there are less distinct increments, which might make a difference on machines with a small number of registers).

AUTHOR

       Copyright (C) Tuomas J. Lukka 1997. All rights reserved.  Duplication in the same form and printing a copy for yourself allowed.

perl v5.12.1							    2009-10-17								   TIPS(1)