A Pipeline-Based Approach for Mapping Message-Passing Applications with an Input Data Stream
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Date
2004
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Abstract
Pipeline applications simultaneously execute different instances
from an input data set. Performance parameters for such applications
are latency (the time taken to process an individual data set) and
throughput (the aggregate rate at which data sets are processed). In this
paper, we propose a mapping algorithm that improves activity periods
for processors by maximizing throughput and maintaining latency. The
effectiveness of this mapping algorithm is studied for a representative set
of message-passing pipeline applications having different characteristics.
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Lecture Notes in Computer Science, 2004, vol. 3241, p. 224-233