Using the features of modern processors, and operating systems, for example every core of a processor we have available to reduce the total execution time of a program.Certain sections of code can be run simultaneously, and allow parallelization in principle.A single process covers a piece of code that can be run separately.One solution for this is the usage of subprocesses in combination with parallel execution. This does not refer to source code, only, but also to code that is executed on your machine. The more complex a program gets the more often it is handy to divide it into smaller pieces. Example 1 shows this for an arbitrarily selected process that has the process ID #177.Įxample 1: Information that is available to a process :/proc/177 # lsĪuxv environ map_files numa_maps sched syscallĬlear_refs fd mem oom_score setgroups timersĬmdline fdinfo mountinfo oom_score_adj smaps uid_mapĬoredump_filter io mountstats personality stat Structuring Program Code and Data
The entries are sorted by the process ID, which is unique to each process. This information is kept in the process file system of your UNIX/Linux system, which is a virtual file system, and accessible via the /proc directory.
This "bubble" is called a process, and comprises everything which is needed to manage this program call.įor example, this so-called process environment includes the memory pages the process has in use, the file handles this process has opened, both user and group access rights, and its entire command line call, including given parameters. When you start a program on your machine, it runs in its own "bubble" which is completely separate from other programs that are active at the same time.
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