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  2. Fork–join model - Wikipedia

    en.wikipedia.org/wiki/Fork–join_model

    Implementations of the fork–join model will typically fork tasks, fibers or lightweight threads, not operating-system-level "heavyweight" threads or processes, and use a thread pool to execute these tasks: the fork primitive allows the programmer to specify potential parallelism, which the implementation then maps onto actual parallel execution. [1]

  3. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    The pseudo-code for multiplication calculates the dot product of two matrices A, B and stores the result into the output matrix C. If the following programs were executed sequentially, the time taken to calculate the result would be of the O ( n 3 ) {\displaystyle O(n^{3})} (assuming row lengths and column lengths of both matrices are n) and O ...

  4. Single program, multiple data - Wikipedia

    en.wikipedia.org/wiki/Single_program,_multiple_data

    A typical example is the parallel DO loop, where different processors work on separate parts of the arrays involved in the loop. At the end of the loop, execution is synchronized (with soft- or hard-barriers [ 6 ] ), and processors (processes) continue to the next available section of the program to execute.

  5. Loop-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Loop-level_parallelism

    DOALL parallelism exists when statements within a loop can be executed independently (situations where there is no loop-carried dependence). [1] For example, the following code does not read from the array a, and does not update the arrays b, c. No iterations have a dependence on any other iteration.

  6. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    For example, concurrent processes can be executed on one core by interleaving the execution steps of each process via time-sharing slices: only one process runs at a time, and if it does not complete during its time slice, it is paused, another process begins or resumes, and then later the original process is resumed. In this way, multiple ...

  7. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    These application programming interfaces support parallelism in host languages. Apache Beam; Apache Flink; Apache Hadoop; Apache Spark; CUDA; OpenCL; OpenHMPP

  8. For loop - Wikipedia

    en.wikipedia.org/wiki/For_loop

    In computer science, a for-loop or for loop is a control flow statement for specifying iteration. Specifically, a for-loop functions by running a section of code repeatedly until a certain condition has been satisfied. For-loops have two parts: a header and a body. The header defines the iteration and the body is the code executed once per ...

  9. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    In this example, instruction 3 cannot be executed before (or even in parallel with) instruction 2, because instruction 3 uses a result from instruction 2. It violates condition 1, and thus introduces a flow dependency. 1: function NoDep(a, b) 2: c := a * b 3: d := 3 * b 4: e := a + b 5: end function