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By Heinrich J. Stüttgen

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SP systems combine various versions of the successful RS6000 workstation and server nodes with different interconnects to provide a wide variety of parallel systems, from 8 processors to the 8192-processor ASCI White system. Some distributed-memory systems have been built with special-purpose hardware that provides remote memory operations such as put and get. The most successful of these are the Cray T3D and T3E systems. Many groups have exploited the low cost and relatively high performance of commodity microprocessors to build clusters of personal computers or workstations.

The reasons are straightforward: Big systems cost a lot of money and take a lot of time to acquire; they have measurable, often mysterious except to the fully initiated, properties; and we wonder how close they are getting to the most famous computer of all, HAL. ” A case in point is seismic processing [247]. Schlumberger acquired two, 128node CM-5s to provide seismic processing services to their customers. They were successful simply because it was possible, in this instance, to write an efficient post-stack migration code for the CM-5 and provide commercial-quality services to their customers, all within the 2 to 4 year operational window of any given highend hardware platform.

Other approaches begin to introduce a very fine scale of parallelism. For example, multiple functional units such as multiple floating-point adders and multipliers may be provided. In such cases, however, the program must be rewritten and/or recompiled to make use of the additional resources. ) Once on-chip clock latency is addressed, the designer must face an even more challenging problem: latency to storage, beginning with memory. 2 Memory While a computer is running, active data and programs are stored in memory.

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