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  2. Series and parallel circuits - Wikipedia

    en.wikipedia.org/wiki/Series_and_parallel_circuits

    A series circuit with a voltage source (such as a battery, or in this case a cell) and three resistance units. Two-terminal components and electrical networks can be connected in series or parallel. The resulting electrical network will have two terminals, and itself can participate in a series or parallel topology.

  3. Single instruction, multiple data - Wikipedia

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

    Single instruction, multiple data. Single instruction, multiple data (SIMD) is a type of parallel processing in Flynn's taxonomy.SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA.

  4. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    Due to the inherent difficulties in full automatic parallelization, several easier approaches exist to get a parallel program in higher quality. One of these is to allow programmers to add "hints" to their programs to guide compiler parallelization, such as HPF for distributed memory systems and OpenMP or OpenHMPP for shared memory systems.

  5. Further processing cost - Wikipedia

    en.wikipedia.org/wiki/Further_processing_cost

    Further processing cost is the cost incurred to make joint products ready for further use or sale after the production process' split-off point. [1] Example

  6. Instruction-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Instruction-level_parallelism

    Atanasoff–Berry computer, the first computer with parallel processing [1] Instruction-level parallelism (ILP) is the parallel or simultaneous execution of a sequence of instructions in a computer program. More specifically, ILP refers to the average number of instructions run per step of this parallel execution. [2]: 5

  7. 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.

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