On linear schedules of task graphs for generalized logp-machines

We discuss linear schedules of task-graphs under the communication cost model of the LogP-machine. In addition to our previous work, we consider also non-constant parameters L, o and g, i.e. we introduce messages of different sizes into the LogP-model. The main results of this work are the following...

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description We discuss linear schedules of task-graphs under the communication cost model of the LogP-machine. In addition to our previous work, we consider also non-constant parameters L, o and g, i.e. we introduce messages of different sizes into the LogP-model. The main results of this work are the following: (i) in the LogP-model, less communication in linear schedules does not necessarily imply a better performance. (ii) We give an upper time bound on the execution time of linear clusterings. (iii) We give an efficient algorithm which computes linear clusterings with a minimum number of clusters.
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subjects Applied sciences
Computer science
control theory
systems
Computer systems performance. Reliability
Exact sciences and technology
Execution Time
Linear Cluster
Linear Schedule
Software
Task Graph
Topological Sorting
title On linear schedules of task graphs for generalized logp-machines
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