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resource dependence the parallelism among the instructions may also be affected because of the shared resources if two instructions are using the
control dependencesegments or instructions in a program may obtain control structures thus dependency between the statements can also be in control
data dependency it refers to the state in which two or more instructions split same data the instructions in a program can be given based on the
cache-only memory access model comaas we have discussed previous shared memory multiprocessor systems may use cache memories with each processor for
non-uniform memory access model numain shared memory multiprocessor systems local memories can be joined with every processor the group of every
uniform memory access model umain this model the main memory is uniformly shared by all processors in multiprocessor systems and each processor has
input-output-processor interconnection network iopinthis interconnection network is used for communication between io channels and processors all
processor-memory interconnection network pminthis is a switch that joined various processors to different memory modules connecting every processor
handlers classificationin 1977 wolfgang handler proposed an detailed notation for expressing the parallelism and pipelining of computers handlers
flynns classificationflynns classification is based on multiplicity of data streams and instruction streams observed by the cpu during program
instruction1you can do this individually or in groups of 2-3 students2any material copied and pasted from anywhere eg figures and text is considered
flynns classification this classification was early proposed and studied by michael flynn in 1972 flynn did not believe the machine architecture
types of classificationthe following classification of parallel computers have been recognized1 categorization based on the data
objectivesafter going through this unit you should be able to describe the diffrent criteria on which classification of parallel computers are based
classification of parallel computers introductionparallel computers are those that underline the parallel processing among the operations in some
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