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If you write your own programs, or if you compile those written by others, speed of execution and size of executables are often major considerations. For example, if you are writing a program that attempts to solve differential equations or perform highly complex numerical operations, you will obviously want to optimize for speed of execution. If you re a Java applet developer, your codebase must be downloaded to remote Web browser clients before it can be executed, so you d definitely be more interested in optimizing for executable size rather than speed. Any kind of optimization performed on source code during compilation will almost certainly increase compilation time, so this needs to be factored into plans for code optimization during early phases of development. The Solaris development environment and the GNU compilers provide several ways in which you can monitor and enhance performance. The best way to evaluate application performance is to time the application. You can use the time command to measure the actual time taken to execute the application; it breaks this down into user and system components. Let s run the time command on the compiler command string used earlier to build the horses program from source:

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The total time taken to compile the command was 0.547 seconds ( real time ), made up of approximately 0.45 second of user time, and 0.1 second of system time. In this context, user time is the number of seconds that the CPU spent processing instructions in user mode, while system time is the number of seconds the kernel was running on the CPU. It is also possible to measure the execution time of the application itself:

Here, you can see that the execution time of the application is many times faster than the compilation process: the real time used was 0.031 second, of which the user component was 0.02 second, and the system component was negligible. However, let s examine how long it actually took to compile the program:

Part VI:

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The compilation time of 0.895 second was around 50 percent longer than an unoptimized compile. However, the execution time of the optimized program was less than half that required by the unoptimized program:

First of all, cut a square of the copper sheeting so that it is about 6 8 in. square in size. It is much easier to do this with a metal guillotine (Figure 10-12); however, if you haven t got access to this sort of equipment, tin snips will work just fine. When you have done this, wash your hands thoroughly and dry them. You need to remove any grease or oil from your hands that could cause problems with the next step of the process. Remove any grease or detritus from the copper sheeting. Next, take a piece of emery cloth (see Figure 10-13), and thoroughly sand down the piece of copper on both sides to remove the top layer of oxidized copper.

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Using optimization can also have an effect on the size of a binary a faster application is usually larger in executable size, as loops are unrolled and external functions are moved inline. In addition, producing debugging and profiling data for later examination using the GNU debugger (gdb) also increases the application binary size. For example, if we compile the horses program using the standard options, we can examine the size of the executable by using the ls command:

However, when we specify debugging information to be included in the binary, we can use the pg option with gcc this also produces a much larger binary, as we can see using ls:

In this case, the object file contains the executable code as well as the types associated with all functions and variables in the program. In addition, the mapping between line numbers in the source and memory addresses in the object code is retained, making the executable almost twice as large as a binary with no debugging information. When we write C programs, we re often faced with the difficult task of debugging an application that produces unexpected behavior. Integrated development environments (IDEs) are generally quite good at picking up syntax errors, but they cannot always diagnose what will occur at run time, because of differences in environment, system load, virtual memory and system library availability, and so on. That s where gdb really comes into its own. Let s examine a simple program that declares an array of integers, assigns a value to the first and last elements of the array, and then prints it out:

#include <stdio.h> main()

32:

The Solaris installer will use disk slice, /dev/dsk/c0d0s1. After files are copied, the system will automatically reboot, and installation will continue. Please Wait... Copying mini-root to local disk....done. Copying platform specific files....done. Preparing to reboot and continue installation. Need to reboot to continue the installation Please remove the boot media (floppy or cdrom) and press Enter Note: If the boot media is cdrom, you must wait for the system to reset in order to eject.

After you press the ENTER key, you will see the standard Solaris shutdown messages, including this one:

Copper sheeting Clear Plexiglas/Perspex/acrylic sheeting Some thin wood strip Copper wire Duct tape

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