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Parallel process is a phenomenon noted in clinical supervision by therapist and supervisor, whereby the therapist recreates, or parallels, the client's problems by way of relating to the supervisor. The client's transference and the therapist's countertransference thus re-appear in the mirror of the therapist/supervisor relationship.
In grammar, parallelism, also known as parallel structure or parallel construction, is a balance within one or more sentences of similar phrases or clauses that have the same grammatical structure. [1] The application of parallelism affects readability and may make texts easier to process. [2]
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
In rhetoric, parallel syntax (also known as parallel construction, parallel structure, and parallelism) is a rhetorical device that consists of repetition among adjacent sentences or clauses. The repeated sentences or clauses provide emphasis to a central theme or idea the author is trying to convey. [ 1 ]
Parallel processing may refer to: Parallel computing. Parallel processing (DSP implementation) – Parallel processing in digital signal processing; Parallel processing (psychology) Parallel process – client/supervisor
For simple loops, where each iteration is independent of the others, loop-level parallelism can be embarrassingly parallel, as parallelizing only requires assigning a process to handle each iteration. However, many algorithms are designed to run sequentially, and fail when parallel processes race due to dependence within the code. Sequential ...
In this way, multiple processes are part-way through execution at a single instant, but only one process is being executed at that instant. [citation needed] 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.
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.