2019
DOI: 10.35470/2226-4116-2019-8-4-195-198
|View full text |Cite
|
Sign up to set email alerts
|

Development of the distributed information system for the cooperative work under the design and optimizationof charged particle accelerators

Abstract: A problem of the development of distributed information system for carrying out numerical experiments in the purpose of design and optimizations of charged particle accelerators is discussed. The infrastructure of a considered informational system should provide an effective methods for organizing calculations, storing, sharing, exchanging and analyzing the results of numerical experiments and data, remote user access to the system for group of researchers. To achieve this aim we proposed distributed architect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 4 publications
0
2
0
Order By: Relevance
“…The parameter server is responsible for distributing the model and summarizing the gradient, and the worker is responsible for computing and maintaining communication with the parameter server. The updating model can be divided into synchronous updating and asynchronous updating [14].…”
Section: Distributed Deep Learningmentioning
confidence: 99%
“…The parameter server is responsible for distributing the model and summarizing the gradient, and the worker is responsible for computing and maintaining communication with the parameter server. The updating model can be divided into synchronous updating and asynchronous updating [14].…”
Section: Distributed Deep Learningmentioning
confidence: 99%
“…In fact, from the different signs of software development, distributed architecture has become an Distributed Processing System inevitable trend [6]. Kane M B introduced a distributed hydraulic control architecture with scalable computation and resilience to component failures in the network and physical domains.…”
Section: Introductionmentioning
confidence: 99%