PROGRAM SYSTEMS: THEORY AND APPLICATIONS

12+

 

Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

Supercomputing Software and Hardware
Mathematical Modelling

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• Содержание выпуска •
• Supercomputing Software and Hardware •
• Mathematical Modelling •

Supercomputing Software and Hardware

Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci., corresponding member of RAS

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 1_2019

15 с.

PDF

submitted on 28th Okt 2018 displayed on website on 18th Feb 2019

E. A. Barkovsky, A. A. Lazutina, A. V. Sokolov
The Optimal Control of Two Work-Stealing Deques, Moving One After Another in a Shared Memory

In the parallel work-stealing load balancers, each core owns personal buffer of tasks called deque. One end of the deque is used by its owner to add and retrieve tasks, while the second end is used by other cores to steal jobs. In the paper two representation methods of deques are analyzed: partitioned serial cyclic representation of deques (one of the conventional techniques); and the new approach proposed by our team, without partition of shared memory in advance between deques moving one after another in a circle. Previously we analyzed these methods for representing FIFO queues in network applications, where the “One after another” way gave the best result for some values of the system parameters.
Purpose of this research is to construct and analyze models of the process of work with two circular deques located in shared memory, where they movie one after another in a circle. The mathematical model is constructed in the form of a random walk by integer points in the pyramid. The simulation model is constructed using the Monte Carlo method. The used work-stealing strategy is stealing of one element. We propose the mathematical and simulation models of this process and carry out numerical experiments. (In Russian)


Key words: Work-Stealing Schedulers, Work-Stealing Deques, Data Structures, Absorbing Markov Chains, Random Walks.

article citation

http://psta.psiras.ru/read/psta2019_1_3-17.pdf

 DOI

https://doi.org/10.25209/2079-3316-2019-10-1-3-17

Article # 2_2019

14 с.

PDF

submitted on 28th Okt 2018 displayed on website on 15th Feb 2019

E. A. Barkovsky, A. A. Lazutina, A. V. Sokolov
The Optimal Control of Two Work-Stealing Deques, Moving One After Another in a Shared Memory

In the parallel work-stealing load balancers, each core owns personal buffer of tasks called deque. One end of the deque is used by its owner to add and retrieve tasks, while the second end is used by other cores to steal jobs. In the paper two representation methods of deques are analyzed: partitioned serial cyclic representation of deques (one of the conventional techniques); and the new approach proposed by our team, without partition of shared memory in advance between deques moving one after another in a circle. Previously we analyzed these methods for representing FIFO queues in network applications, where the “One after another” way gave the best result for some values of the system parameters.
Purpose of this research is to construct and analyze models of the process of work with two circular deques located in shared memory, where they movie one after another in a circle. The mathematical model is constructed in the form of a random walk by integer points in the pyramid. The simulation model is constructed using the Monte Carlo method. The used work-stealing strategy is stealing of one element. We propose the mathematical and simulation models of this process and carry out numerical experiments.


Key words: Work-Stealing Schedulers, Work-Stealing Deques, Data Structures, Absorbing Markov Chains, Random Walks.

article citation

http://psta.psiras.ru/read/psta2019_1_19-32.pdf

 DOI

https://doi.org/10.25209/2079-3316-2019-10-1-19-32

   
   
   

 

• Содержание выпуска •
• Supercomputing Software and Hardware •
• Mathematical Modelling •

 

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