Cover Image

Parallel algorithms optimization using Actor Model

Introduced methods and instrumentation tools for actor model applied to block recursive algorithms optimization. Created formal model of distribution and coordination of the tasks in computation cluster as asynchronous reactive processes with message-passing represented with an actor model and chore...

Full description

Saved in:

Bibliographic Details
Date:	2020
Main Authors:	Doroshenko, А.Yu., Tulika, E.M.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2020
Subjects:	block recursive algorithms cloud computing actor model actor choreography autotuning of actor choreography UDC 004.4'24
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/404
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Problems in programming
Download file:

Institution

Problems in programming

Similar Items

Transformation of the legacy code on Fortran for scalability and cloud computing
by: Doroshenko, A.Yu., et al.
Published: (2018)

Comparison of the effectiveness of the Map-Reduce approach and the actor model in solving problems with high connectivity of inp data on the example of the optimization problem for a swarm of particles
by: Larin, V.O., et al.
Published: (2021)

Automated generation of programs for a class of parametric neuroevolution algorithms
by: Doroshenko, A.Yu., et al.
Published: (2023)

To the issue of optimizing cloud computing based on their cost
by: Doroshenko, А.Yu., et al.
Published: (2021)

Parallel distributed implementation of parallel processing simulation
by: Doroshenko, A.Yu., et al.
Published: (2025)

Formal and adaptive methods and software tools of parallel programming
by: Doroshenko, А.Yu., et al.
Published: (2018)

A method of tuning programs on .Net platform with rewriting rules
by: Mamedov, T.A., et al.
Published: (2019)

Algorithm for automatic loop parallelization for graphics processing units
by: Doroshenko, А.Yu., et al.
Published: (2018)

Automated development of a parallel distributed system for streaming data processing
by: Titov, D.S., et al.
Published: (2018)

Renaissance of actor model application to the development of parallel and distributed systems
by: Glybovets, M.M., et al.
Published: (2017)

Automated design and parallelization of programs for heterogeneous platforms using algebra-algorithmic tools
by: Doroshenko, А.Yu., et al.
Published: (2020)

Automated design of programs for .NET platform using Task Parallel Library
by: Doroshenko, А.Yu., et al.
Published: (2020)

Parallel software auto-tuning using statistical modeling and machine learning
by: Doroshenko, А.Yu., et al.
Published: (2018)

Usage of modelling tools for determining optimal parameters of programme execution on video graphics accelerators
by: Doroshenko, A.Yu., et al.
Published: (2025)

Parallel algorithms optimization using Actor Model
by: Yu. Doroshenko, et al.
Published: (2020)

Automated design of OpenCL programs based on algebra-algorithmic approach
by: Doroshenko, А.Yu., et al.
Published: (2019)

On performance of the In-Memory Data Grids
by: Rukhlis, K.A., et al.
Published: (2017)

Toolkit for simulation of heterogeneous GPU-based environments
by: Okonsky, I.V., et al.
Published: (2025)

DS-theory. Presentation of canonical algorithm by means of algorithmic language
by: Kolesnyk, V.G.
Published: (2017)

DS-theory. Research of R-data division factors in order to generate applied algorithms. Part 1
by: Kolesnyk, V.G.
Published: (2017)

The description of lists and sets of meta-language of normal forms of knowledge
by: Kurgaev, A.F.
Published: (2020)

Automated parallelization of a program for modeling intraparticle diffusion and adsorption in heterogeneous nanoporous media
by: Doroshenko, A.Yu., et al.
Published: (2023)

Tools of investigation of time and functional efficiency of bionic algorithms for function optimization problems
by: Shynkarenko, V.I., et al.
Published: (2018)

Predicting the Probability of Exceeding Critical System Thresholds
by: Krammer, P., et al.
Published: (2018)

Using Petri nets to design parallel applications
by: Pogorilyy, S.D., et al.
Published: (2025)

Parallel distributed implementation of workflow management module for operation support system for telecommunication providers
by: Doroshenko, А.Yu., et al.
Published: (2017)

Application of machine learning models to predict energy consumption in smart home systems
by: Haidukevych, V.O., et al.
Published: (2025)

Design of a terrain surface visualization program using algebra-algorithmic tools
by: Doroshenko, А.Yu., et al.
Published: (2019)

Розпаралелювання програм на фортрані з використанням техніки переписувальних правил
by: Doroshenko, A.Yu., et al.
Published: (2015)

Optimization of parallel perceptron for central processing units
by: Doroshenko, A.Yu., et al.
Published: (2025)

Parallel distributed system for social networks streaming data analysis
by: Doroshenko, А.Yu., et al.
Published: (2017)

An adaptive inference model in mobile systems
by: Haidukevych, Y.O., et al.
Published: (2026)

Static analysis of .NET programs using rewriting rules
by: Mamedov, T.A., et al.
Published: (2020)

Autotuning of parallel programs using the IBM Watsons Analytics data analysis system
by: Doroshenko, А.Yu., et al.
Published: (2018)

Рaradigms of programming assembling type in software engeneering
by: Lavrischeva, E.M.
Published: (2025)

Genetic algorithm for structural adaptation of sorting algorithms
by: Shinkarenko, V.I., et al.
Published: (2024)

Software solution for electrocardiogram storage and analysis
by: Yefremov, M.S., et al.
Published: (2025)

Managing data center resources using heuristic search
by: Zharikov, E.V.
Published: (2018)

A method of two-tier storage management in virtualized data center
by: Zharikov, E.V.
Published: (2019)

Constructive-synthesizing modeling of the genetic algorithm chromosomes with encoded sorting algorithms
by: Shinkarenko, V.I., et al.
Published: (2025)