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To create a FileInfo, DirectoryInfo, or DriveInfo object, you supply a relative or fully qualified path to the constructor. You can also use the GetFileInfo, GetDirectoryInfo, and GetDriveInfo Shared methods of the My.Computer.FileSystem. These methods return an instance of a FileInfo, DirectoryInfo, and DriveInfo object, respectively. You can retrieve information through the corresponding object properties. Table 5-2 lists some of the key members and methods of these objects.

Inlining is an optimization technique where code performance can improve by replacing complex constructs and even function calls with inline representations of the construct or function call. Code inlining, or loop unrolling, are terms for replacing all or portions of a loop with an explicit series of instructions. Function inlining is the term for replacing function calls with the explicit set of instructions that are performed by the function. In general, inlining can reduce code complexity and provide higher performance than would be required by branching that would be done otherwise. It often also provides opportunities for common subexpression elimination and code motion optimization. The classic example of optimization through inlining and unrolling is Duff s Device, which is explained at http://en.wikipedia.org/wiki/Duff's_device in more detail than would be useful here.

void XmlManager::setDefaultPageSize(u_int32_t pageSize) u_int32_t XmlManager::getDefaultPageSize()

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FileInfo and DirectoryInfo FileInfo and DirectoryInfo FileInfo and DirectoryInfo FileInfo and DirectoryInfo FileInfo FileInfo FileInfo FileInfo

GCC uses a sequence of different intermediate representations of your code before generating binaries. Converting language-specific code into simpler forms provides several primary advantages: Breaking your code into simpler, more low-level constructs exposes opportunities for optimization that may not be directly visible in your source code. Using intermediate representations enables the simpler form to more easily and readably represent parse trees that are otherwise at varying levels of complexity. Using a simpler form enables the GCC compilers to share optimization mechanisms, regardless of the language in which your code was originally written. Traditionally, GCC has always internally used an intermediate form known as Register Transfer Language (RTL), which is a very low-level language into which all code compiled with a GCC compiler (in any high-level language) is transformed before object code generation begins. Transforming highlevel input languages into an intermediate, internal form is a time-tested mechanism for exposing opportunities for optimization. As a very low-level representation of your code, GCC s RTL lends itself well to optimizations that are similarly low-level, such as register allocation and stack and data

optimizations. Because it is relatively low-level, RTL is not as good as one would like in terms of supporting higher-level optimizations related to data types, array and variable references, and overall data and control flow within your code. With GCC 4.0, the fine makers of the GCC compilers introduced a new intermediate form, static single assignment (SSA), which operates on the parse trees that are produced from your code by GCC compilers, and is thus known as Tree SSA. Without clubbing you to death with algorithms, it is interesting to note that 4.0 and later GCC compilers use two intermediate forms before arriving at a Tree SSA representation, known as GENERIC and GIMPLE. A GENERIC representation is produced by eliminating language-specific constructs from the parse tree that is generated from your code, and a GIMPLE representation is then produced from the GENERIC representation by simplifying address references within the code. Even semantically, you can see that introducing these two intermediate forms and the Tree SSA representation provides several additional points at which optimizations can occur at as high a level as possible before zooming into the depths of the RTL representation of your code. The best source of information on Tree SSA and the actual steps of the optimization process can be found in various papers and presentations by its authors. One particularly interesting presentation was made at the 2003 GCC Developers Summit, and is part of the proceedings for that conference. You can find these online at http://www.linux.org.uk/~ajh/gcc/gccsummit-2003-proceedings.pdf.

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