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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. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    Shared memory is declared in the PTX file via lines at the start of the form: .shared .align 8 .b8 pbatch_cache [ 15744 ]; // define 15,744 bytes, aligned to an 8-byte boundary Writing kernels in PTX requires explicitly registering PTX modules via the CUDA Driver API, typically more cumbersome than using the CUDA Runtime API and Nvidia's CUDA ...

  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. 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.

  6. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    This answer requires a reliable estimation (modeling) of the program workload and the capacity of the parallel system. The first pass of the compiler performs a data dependence analysis of the loop to determine whether each iteration of the loop can be executed independently of the others.

  7. Explicitly parallel instruction computing - Wikipedia

    en.wikipedia.org/wiki/Explicitly_parallel...

    This eliminates the need for complex scheduling circuitry in the CPU, which frees up space and power for other functions, including additional execution resources. An equally important goal was to further exploit instruction-level parallelism (ILP) by using the compiler to find and exploit additional opportunities for parallel execution.

  8. Execution model - Wikipedia

    en.wikipedia.org/wiki/Execution_model

    Each and every programming language has an execution model, which determines the manner in which the units of work (that are indicated by program syntax) are scheduled for execution. Detailed examples of the specification of execution models of a few popular languages include those of Python, [1] the execution model of the Unified Parallel C ...

  9. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    A vector processor is a CPU or computer system that can execute the same instruction on large sets of data. Vector processors have high-level operations that work on linear arrays of numbers or vectors. An example vector operation is A = B × C, where A, B, and C are each 64-element vectors of 64-bit floating-point numbers. [64]