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Method for the pairwise processing of elements in data arrays for many-task computing in a hybrid cloud

Laboratory of Information Technologies

Date and Time: Wednesday, 20 April 2022, at 10:00 AM

Venue: Conference Hall, Laboratory of Information Technologies; online on Webex,


Seminar topic: “Method for the pairwise processing of elements in data arrays for many-task computing in a hybrid cloud”

Speaker: I. V. Bobyleva (Samara National Research University)

Abstract:

The dissertation is devoted to the development of a method for organizing efficient computing using hybrid cloud systems in data processing problems. The method is based on the joint application of Cole’s algorithmic skeletons and a variant of Hewitt’s actor model to describe many-task computations. The proposed method is investigated by the example of algorithms for the pairwise processing of data arrays according to the principle of a round-robin tournament. Computational experiments demonstrate the effectiveness of software implementations of these algorithms on various types of modern computer architectures that represent hybrid cloud resources.

(based on the PhD thesis)

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