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  2. Unified Parallel C - Wikipedia

    en.wikipedia.org/wiki/Unified_Parallel_C

    C, AC, Split-C, Parallel C Preprocessor Unified Parallel C ( UPC ) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines , including those with a common global address space ( SMP and NUMA ) and those with distributed memory (e. g. clusters ).

  3. Explicit multi-threading - Wikipedia

    en.wikipedia.org/wiki/Explicit_multi-threading

    Explicit Multi-Threading (XMT) is a computer science paradigm for building and programming parallel computers designed around the parallel random-access machine (PRAM) parallel computational model. A more direct explanation of XMT starts with the rudimentary abstraction that made serial computing simple: that any single instruction available ...

  4. Single instruction, multiple threads - Wikipedia

    en.wikipedia.org/wiki/Single_instruction...

    Single instruction, multiple threads (SIMT) is an execution model used in parallel computing where single instruction, multiple data (SIMD) is combined with multithreading. It is different from SPMD in that all instructions in all "threads" are executed in lock-step.

  5. pthreads - Wikipedia

    en.wikipedia.org/wiki/Pthreads

    pthreads defines a set of C programming language types, functions and constants. It is implemented with a pthread.h header and a thread library. There are around 100 threads procedures, all prefixed pthread_ and they can be categorized into five groups: Thread management – creating, joining threads etc. Mutexes; Condition variables

  6. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    Task parallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors in parallel computing environments. Task parallelism focuses on distributing tasks —concurrently performed by processes or threads —across different processors.

  7. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    Concurrent computations may be executed in parallel, [3] [6] for example, by assigning each process to a separate processor or processor core, or distributing a computation across a network. The exact timing of when tasks in a concurrent system are executed depends on the scheduling , and tasks need not always be executed concurrently.

  8. List of concurrent and parallel programming languages

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

    Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...

  9. Single program, multiple data - Wikipedia

    en.wikipedia.org/wiki/Single_program,_multiple_data

    An example of "Single program, multiple data". In SPMD parallel execution, multiple autonomous processors simultaneously execute the same program at independent points, rather than in the lockstep that SIMD or SIMT imposes on different data. With SPMD, tasks can be executed on general purpose CPUs.