Abstract
Incremental computing masks the communication latency by overlapping computations with communications. However, a sequence of messages with a large latency variance still makes computations proceed intermittently. It is known that a dominant input stream from a data server maximizes the CPU utilization of the networked computation server [7]. Unfortunately, the problem of finding a dominant input stream is \(\mathcal{N}\mathcal{P}\)-hard in the strong sense. In this paper, a dominant input stream for LU decomposition is proposed. It is shown that the dominant input stream outperforms the input stream sending data in traditional order. In addition, the nonexistence of dominant input streams is proved for the case that the compressed format is used for sending input data.
This research is partially supported by National Science Council under the grant 95-2221-E-197-013.
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Lin, CC. (2007). A Dominant Input Stream for LUD Incremental Computing on a Contention Network. In: Jin, H., Rana, O.F., Pan, Y., Prasanna, V.K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2007. Lecture Notes in Computer Science, vol 4494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72905-1_36
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DOI: https://doi.org/10.1007/978-3-540-72905-1_36
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