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levels of parallel processingwe could have parallel processing at four levelsi instruction level most processors have numerous execution units
advntages of parallel processing oversequential computationparallel computing has the following benefits over sequential computingi
what do understand by the granularity of a parallel systemgranularity refers to the quantity of computation complete in parallel relative to the size
differentiate concurrent and parallel executionsthe words parallel and concurrent are often used interchangeably however they are different parallel
what are the advantages of threads over processessome of the useful threads offer over processes includesi it does not take more time to
massively parallel systemrefers to a parallel computer system having a great number of processors the number in a great number of keeps increasing
granularityin parallel computing granularity is a important measure of the ratio of computation to communicationcoarse granularity relatively huge
communicationsparallel tasks classically need to exchange data there are many ways in which this can be accomplished such as through a network or
questifind core radius for single mode operation at 850nm in si fibre with n11480 amp n2147 what is
shared memoryrefers to the memory part of a computer system in which the memory can processed directly by any of the processors in the
serial executionexecution of a program consecutively one statement at a time in the easiest sense this is what occurs on a one processor machine
taska logically discrete sector of a computational effort a task is naturally a program or program-like set of instructions that is implemented by a
parallel computersin india the design and development of parallel computers in progress in the early 80s the indian government recognized the centre
mathematical simulation and modeling applicationsthe tasks including modeling and mathematical simulation require a lot of parallel processing three
ai applicationssearch is a crucial component of an ai system and the search functions are performed over large quantities of difficult structured
answering systems database querythere are a large number of opportunities for get faster through parallelizing a database management system dbms
engineering applicationsa few of the engineering applications are airflow circulation over aircraft machinery simulations of simulated
scientific applicationsimage processingmost of parallel processing functions from science and other academic subjects are mainly have based upon
applications of parallel processingparallel computing is an development of serial computing that effort to emulate what has always been the affirm of
program levelthis is usually the dependability of the operating system which runs processes simultaneously different programs are evidently
procedure levelhere parallelism is accessible in the form of parallel executable procedures in this situation the design of the algorithm plays a
loop levelat this level repeated loop iterations are the applicants for parallel execution however data dependencies among subsequent iterations may
instruction levelit refers to the condition where different instructions of a program are implemented by different processing elements most
levels of parallel processingdepending upon the difficulty under consideration parallelism in the answer of the problem may be achieved at dissimilar
the need of parallel computationwith the advancement of computer science cs computational speed of the processors has also improved many a time