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What's in the future for parallel architectures?

For over a decade now parallelism has been in the forefront as the cost effective means of attaining high-performance computing capabilities. Progress in chip technology for processors and memories, and progress in high speed networks are enabling advancement in several frontiers of high-performance computing: from the more powerful parallel personal computers and workstations, to the massively parallel machines, to distributed computing. A significant derivative of the high computational power and network speed is the generation and exchange of vast amounts of data with the accompanying necessity to manage such data. We have seen multiple approaches to parallelism, that have manifested themselves in terms of the parallel systems architectures, the base processors the systems