Parallel processing is another method used to improve
performance in a computer system, when a system processes two
different instructions simultaneously, it is performing parallel
processing.
Parallel processing: each thing is processed entirely by a single
functional unit.
Pipelining: each thing is broken into a sequence of pieces, where each piece is handled by a different(specialized) functional unit Parallel processing: each thing is processed entirely by a single functional unit.
Pipelining is an implementation technique where multiple
instructions are overlapped in execution.
• Each stage completes a part of an instruction in parallel. The
stages are connected one to the next to form a pipe-
instructions enter at one end, progress through the stages, and exit at the end .
• Making the instruction of program faster.
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Pipeline processing involves a string of data processed in a chain reaction. This means the output of the first data point processing is the input of the next processing point. Vector processing involves a CPU and only one-dimensional arrays of data. This is similar to how a basic computer functions.
processing is nothing
processing is the plural. B+c=P
Arithmetic pipelines differ from instruction pipelines in some important ways. They are generally synchronous. This means that each stage executes in a fixed number of clock cycles. In a synchronous pipeline, moreover, no buffering between stages is provided. Each stage must be ready to accept the data passed from a previous stage when that data is produced.Another important difference is that an arithmetic pipeline may be nonlinear. The "stages" in this type of pipeline are associated with key processing components such as adders, shifters, etc. Instead of a steady progression through a fixed sequence of stages, a task in a nonlinear pipeline may use more than one stage at a time, or may return to the same stage at several points in processing.
series and parallel are different types of circuits that a robot can contain