Andrey Chernykh

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In this paper, we consider parallel tasks scheduling problems for hierarchical decentralized systems that consist of homogeneous computational resources such as clusters, PCs and supercomputers, and geographically dispersed. We concentrate on two-level hierarchy scheduling: at the first level, broker allocates computational tasks to the resource. At the(More)
The message-passing paradigm is now widely accepted and used mainly for inter-process communication in distributed memory parallel systems. However, one of its disadvantages is the high cost associated with the data exchange. Therefore, in this paper, we describe a message-passing optimization technique based on the exploitation of single-assignment and(More)
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