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  2. Dead code - Wikipedia

    en.wikipedia.org/wiki/Dead_code

    The term dead code has multiple definitions. Some use the term to refer to code (i.e. instructions in memory) which can never be executed at run-time. [1] [2] [3] In some areas of computer programming, dead code is a section in the source code of a program which is executed but whose result is never used in any other computation.

  3. Dekker's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dekker's_algorithm

    Dekker's algorithm is the first known correct solution to the mutual exclusion problem in concurrent programming where processes only communicate via shared memory. The solution is attributed to Dutch mathematician Th. J. Dekker by Edsger W. Dijkstra in an unpublished paper on sequential process descriptions [1] and his manuscript on cooperating sequential processes. [2]

  4. Kernel panic - Wikipedia

    en.wikipedia.org/wiki/Kernel_panic

    For example, many Unix operating systems panic if the init process, which runs in user ... then dropped the system into an endless idle loop. Source code of ...

  5. Peterson's algorithm - Wikipedia

    en.wikipedia.org/wiki/Peterson's_algorithm

    The algorithm uses two variables: flag and turn.A flag[n] value of true indicates that the process n wants to enter the critical section.Entrance to the critical section is granted for process P0 if P1 does not want to enter its critical section or if P1 has given priority to P0 by setting turn to 0.

  6. Critical section - Wikipedia

    en.wikipedia.org/wiki/Critical_section

    Thus, the parts of the program where the shared resource is accessed need to be protected in ways that avoid the concurrent access. One way to do so is known as a critical section or critical region. This protected section cannot be entered by more than one process or thread at a time; others are suspended until the first leaves the critical ...

  7. Loop dependence analysis - Wikipedia

    en.wikipedia.org/wiki/Loop_dependence_analysis

    In this example, code block 1 shows loop-dependent dependence between statement S2 iteration i and statement S1 iteration i-1. This is to say that statement S2 cannot proceed until statement S1 in the previous iteration finishes. Code block 2 show loop independent dependence between statements S1 and S2 in the same iteration.

  8. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    Python supports conditional execution of code depending on whether a loop was exited early (with a break statement) or not by using an else-clause with the loop. For example, For example, for n in set_of_numbers : if isprime ( n ): print ( "Set contains a prime number" ) break else : print ( "Set did not contain any prime numbers" )

  9. Control-flow graph - Wikipedia

    en.wikipedia.org/wiki/Control-flow_graph

    Some CFG examples: (a) an if-then-else (b) a while loop (c) a natural loop with two exits, e.g. while with an if...break in the middle; non-structured but reducible (d) an irreducible CFG: a loop with two entry points, e.g. goto into a while or for loop A control-flow graph used by the Rust compiler to perform codegen.