4. Parallel Computing 14. Introduction


Figure 310: Distributed Memory Multiprocessor



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14 Parallel Computing

Figure 310: Distributed Memory Multiprocessor

What possible advantage could a distributed memory multiprocessor have?  For one

thing, there is no contention for a common memory module. This improves performance.

On the other hand, having to go through an intermediary to get information is generally

slower than in the case of shared memory.

A related issue is known as scalability. Assuming that there is enough parallelism

inherent in the application, one might wish to put a very large number of processors to

work. Doing this exacerbates the problem of memory contention: only one processor can

access a single memory module at a time. The problem can be alleviated somewhat by

adding more memory modules to the shared memory configuration. The bottleneck then

shifts to the processor-memory communication mechanism. If, for example, a bus

interconnection is used, there is a limit to the number of memory transactions per unit

time, as determined by the bus technology. If the number of processors and memory

modules greatly exceeds this limit, there will be little point in having multiple units. To

overcome the bus limitation, a large variety of multi-stage interconnect switches have

been proposed. A typical example of such a switch is the butterfly interconnection, as

shown below.

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