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Acovea's Best-of-the-Best: gcc -lrt -lm -std=gnu99 -O1 -march=opteron -fno-merge-constants -fno-defer-pop -momit-leaf-frame-pointer -fno-if-conversion -fno-loop-optimize -ftree-ccp -ftree-dce -ftree-dominator-opts -ftree-dse -ftree-copyrename -ftree-fre -ftree-ch -fmerge-constants -fcrossjumping -fcse-follow-jumps -fpeephole2 -fschedule-insns2 -fstrict-aliasing -fthread-jumps -fgcse-lm -fsched-interblock -fsched-spec -freorder-functions -funit-at-a-time -falign-functions -falign-jumps -falign-loops -falign-labels -ftree-pre -finline-functions -fgcse-after-reload -fno-inline -fpeel-loops -funswitch-loops -funroll-all-loops -fno-function-cse -fgcse-las -ftree-vectorize -mno-push-args -mno-align-stringops -minline-all-stringops -mfpmath=sse,387 -funsafe-math-optimizations -finline-limit=600 -o /tmp/ACOVEAA7069796 fibonacci_all.c Acovea's Common Options: gcc -lrt -lm -std=gnu99 -O1 -march=opteron -fno-merge-constants -fno-defer-pop -momit-leaf-frame-pointer -fcse-follow-jumps -fthread-jumps -ftree-pre -o /tmp/ACOVEAAA635117 fibonacci_all.c -O1: gcc -lrt -lm -std=gnu99 -O1 -march=opteron -o /tmp/ACOVEA58D74660 fibonacci_all.c -O2: gcc -lrt -lm -std=gnu99 -O2 -march=opteron -o /tmp/ACOVEA065F6A10 fibonacci_all.c -O3: gcc -lrt -lm -std=gnu99 -O3 -march=opteron -o /tmp/ACOVEA934D7357 fibonacci_all.c -O3 -ffast-math: gcc -lrt -lm -std=gnu99 -O3 -march=opteron -ffast-math -o /tmp/ACOVEA408E67B6 fibonacci_all.c -Os: gcc -lrt -lm -std=gnu99 -Os -march=opteron -o /tmp/ACOVEAAB2E22A4 fibonacci_all.c As you can see, Acovea produces a listing of the combination of options that produce the best results, as well as information about optimization options that it suggests should be added to each of the standard GCC optimization options. As mentioned previously, exhaustively testing all GCC optimization options and determining the interaction between them takes a prohibitive amount of time for mere mortals, even graduate students and interns. Acovea is an impressive application that can do this for you, and can help you automagically produce an optimal executable for your application. For more detailed information about using Acovea and integrating it into the make process for more complex applications than the simple example we ve used, see http://www.coyotegulch.com/products/acovea.

If you wanted to create a project using the files from recipe 1-1, it would look something like this: < xml version="1.0" encoding="utf-8" > <Project xmlns="http://schemas.microsoft.com/developer/msbuild/2003" > <ItemGroup> <SourceFile Include="ConsoleUtils.vb" /> <SourceFile Include="HelloWorld.vb" /> </ItemGroup> <Target Name="TestBuild" > <Vbc TargetType="exe" MainEntryPoint="Apress.VisualBasicRecipes.01.HelloWorld" OutputAssembly ="HelloWorld.exe" Sources="@(SourceFile)" /> </Target> </Project> Once you have created the project file, you use MSBuild.exe to build it. MSBuild.exe includes many parameters (such as /property, /logger, and /verbosity) that can be used to fine-tune the build process. For example, we will use the simplest form, which requires only the name of the project file: Msbuild.exe HelloWorld.proj Executing this command will create the HelloWorld.exe file and produce results similar to the following:

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hapter 2 discussed the various types of optimizations that GCC s C compiler can perform for you Some of these optimizations are automatic, whereas others only make sense based on the characteristics of the application you are trying to optimize For example, you can only decide where and if to use optimizations such as unrolling or inlining loops after studying your application and identifying loops that might benefit from these optimizations (Unrolling or inlining loops means to insert the code for each iteration of a loop in sequence so that a loop is no longer present; the loop is replaced by a series of sequential statements that explicitly perform the contents of the loop for each value of the variable that controls the loop) Determining how to analyze an application can be problematic.

$modify->addAppendStep($selectionExpr, $type, $name, $content [, $location]);

Microsoft (R) Build Engine Version 3.5.20706.1 [Microsoft .NET Framework, Version 2.0.50727.1378] Copyright (C) Microsoft Corporation 2007. All rights reserved. Build started 9/1/2007 9:01:22 PM. Build succeeded. 0 Warning(s) 0 Error(s) Time Elapsed 00:00:02.42

The most common mechanism for examining variables and analyzing the sequence and frequency of functions called in an application is the same mechanism generally used during debugging sprinkling printf() function calls throughout your code Aside from being time-consuming, this approach has the unfortunate side effect of changing application performance Each printf() call has a certain amount of overhead, which can mask truly obscure problems such as timing and allocation conflicts in your applications The printf() mechanism also shows only the sequence of function calls within one run of your application It does not inherently provide information about the execution of those functions unless you do the calculations yourself and then display the statistics Just like adding calls to printf() in the first place, performing execution time calculations in your own debugging functions can change the behavior that you are trying to observe.

$modify->addAppendStep($selectionExpr, $type, $name, $content [, $location]);

This recipe covers only the very basics of MSBuild.exe. If you view the build project file that is automatically created by Visual Studio (as mentioned earlier), you will notice how in-depth it is. For a complete reference to the MSBuild.exe utility, refer to the online documentation at http://msdn2.microsoft.com/en-us/library/ 0k6kkbsd.aspx.

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