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.
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
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.
* The main difference is that pipeline processing is a category of techniques that provide simultaneous, or parallel, processing within the computer and serial processing is sequential processing by two or more processing units.
concurrent processing deals with N-client single server whereas parallel supports N-client N-server
Parallel processsing ranges from instruction-level parallelism e.g. superscalar and VLIW to message-passing MIMD also called multicomputer, and also includes SIMD e.g. vector and array processing. Multiprocessing is specifically task parallelism, and is by definition shared-memory MIMD with multiple processor cores, sometimes multiple sockets.
hgfhfhfhfghfghfgh
Distributed processing involves multiple interconnected systems working together to complete a task, with each system performing a different part of the task. Parallel processing, on the other hand, involves breaking down a task into smaller sub-tasks and executing them simultaneously using multiple processors within the same system. In distributed processing, systems may be geographically dispersed, while parallel processing occurs within a single system.
explain the difference between batch processing and real-time processing
In computing, a pipeline is a set of data processing elements connected in series, so that the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion; in that case, some amount of buffer storage is often inserted between elements. Baraan Khattak.
fvxc
Parallel processing allows the computer to process 2 things at once. However on it's own it doesn't help, computer programs have to be written to use it. Many operating systems are written to take advantage of parallel processing between seperate processes, and some programs are setup to use parallel processing withing their own process.
the pipelining breaks a big task into number of small parts. a part higher in order gets processed n serves as an input for the next sub-task,while in parallel processing various tasks are run at the same time
processing is nothing