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doi: 10.1109/icpp.1993.93
Asynchromus problems are those which may be decomposed into a set of independenr sub-tasks which are suitable for concurrent execution. Th function paraIIeIism of these problems cannot normally be direcrly expressed using the data-parallel programming model. In this paper, data distribution strategies have been explored which allow an asynchronous problem to be implemented which function-parallelism in a data-parallel environment. When a problem can be implemented using both function-parallelism and data-parallelism, there are tradeoffs in using either approach. We have investigated the optimal balance between function-parallelism and data-parallelism for an asynchronous problem.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |