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Lachesis

Name: Lachesis
Keywords: distributed systems, statistical mechanics of networks, early stage design, tensor contraction, tensor network

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Jun 2023 English Publisher:Zenodo

Authors: Chitnelawong, Pheerawich; Klishin, Andrei A.; MacKay, Norman; van Anders, Greg;

doi: 10.5281/zenodo.8088164 , 10.5281/zenodo.8088163

Lachesis

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Abstract

This package implements tensor network methods to compute thermodynamic and statistical mechanics quantities for arbitrary networks representing physical connections among elements in distributed systems design. This approach is useful for investigating early stage design in distributed systems where the possibility of emergent design failures can have large impacts on the performance of the systems, for example, in naval architecture. The source code is written in Python3, and relies on the TensorNetwork package developed by Google to perform tensor contractions.

We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) grants RGPIN-2019-05655 and DGECR-2019-00469. This work was supported by the US Office of Naval Research Grant No. N00014-17-1-2491.

Related Organizations

University of Mary
United States

Keywords

distributed systems, statistical mechanics of networks, early stage design, tensor contraction, tensor network

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