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If this book teaches you nothing else, you ve learned that together the GCC compilers offer approximately 13 zillion options Trying to find the absolute best set of GCC options to use for a specific application and architecture can be tedious at best; so most people stick with the standard GCC optimization options, invoking selected others they have found to be useful over time This is something of a shame because it overlooks additional optimization possibilities; but your development time has to be optimized, too Scott Ladd s Acovea application (http://wwwcoyotegulchcom/products/acovea/indexhtml) provides an interesting and useful mechanism for deriving optimal sets of optimization switches, using an evolutionary algorithm that emulates natural selection Lest this sound like voodoo, let s think about how optimization works in the first place.

XmlMetaDataIterator.next(uri, name, value)

You need to display a directory tree in a TreeView control. However, filling the directory tree structure at startup is too time-consuming.

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Optimization applies algorithms that potentially improve various code segments; checks the results; and retains those that result in code improvements This is conceptually akin to the first step of the natural selection process Acovea simply automates the propagation of satisfactory optimizations to subsequent optimization passes, which apply additional optimizations and measure the results Optimizations that do not indeed optimize or improve the code are therefore treated as evolutionary dead ends that are not explored GCC experts, random posts on the Internet, and books such as this one all offer a variety of general suggestions for trying to derive the best optimizations Unfortunately, these can be contradictory and can never take into account the content and structure of your specific application Acovea attempts to address this by enabling the exhaustive, automatic analysis of the performance of applications compiled with an iterative set of optimization options.

Fill the first level of directories in the TreeView control and add a hidden dummy node to each directory branch. React to the TreeView.BeforeExpand event to fill in subdirectories in a branch just before it s displayed.

$metadataIterator->next($uri, $name, $value);

Its exhaustive analysis also enables you to empirically derive information about the most elusive aspect of GCC s optimization options their interaction Invoking one promising optimization option may have significant impact on the performance of other optimization options Acovea enables you to automatically test all configured GCC options in combination with each other, helping you locate the holy grails of application development, the smallest or fastest compiled version of your application..

You can use recursion to build an entire directory tree. However, scanning the file system in this way can be slow, particularly for large drives. For this reason, professional file management software programs (including Windows Explorer) use a different technique. They query the necessary directory information when the user requests it. The TreeView control is particularly well suited to this approach because it provides a BeforeExpand event that fires before a new level of nodes is displayed. You can use a placeholder (such as an asterisk or empty TreeNode) in all the directory branches that are not filled in. This allows you to fill in parts of the directory tree as they are displayed. To use this type of solution, you need the following three ingredients: A Fill method that adds a single level of directory nodes based on a single directory. You will use this method to fill directory levels as they are expanded. A basic Form.Load event handler that uses the Fill method to add the first level of directories for the drive. A TreeView.BeforeExpand event handler that reacts when the user expands a node and calls the Fill method if this directory information has not yet been added.

void XmlMetaDataIterator::reset()

You can download the source code for the latest version of Acovea from links located at http:// www.coyotegulch.com/products/acovea/index.html. Acovea requires that you build and install two additional libraries before actually building Acovea: coyotl: A library of various routines used by Acovea, including a specialized random number generator, low-level floating point utilities, a generalized command-line parser, and improved sorting and validation tools. evocosm: A library that provides a framework for developing evolutionary algorithms. After building and installing these libraries (in order), using the traditional unpack, configure, make install sequence, you can build and install Acovea itself. Downloading and building the libacovea package compiles and installs an application called runacovea in /usr/local/bin (by default), which is the master control program for GCC optimization testing using Acovea.

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