PROGRAM SYSTEMS: THEORY AND APPLICATIONS

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

Methods for Optimal Control and Control Theory
Artificial Intelligence, Intelligence Systems, Neural Networks
Software and Hardware for Distributed Systems and Supercomputers
Mathematical Foundations of Programming

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• Содержание выпуска •
• Methods for Optimal Control and Control Theory •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •

Mathematical Foundations of Programming

Responsible for the Section: doctor of physico-mathematical Sciences Nikolay Nepeivoda

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 # 11_2021

56 p.

PDF

submitted on 02th Apr 2021 displayed on website on 28th June 2021

 

Konstantin S. Isupov
An overview of high-performance computing using the residue number system


A residue number system (RNS) is a non-positional number system, an alternative to a binary representation of numbers. In RNS, a large integer is represented as a set of smaller numbers, which are the remainders (“residues”) of dividing its original value by some moduli. An exciting feature of the RNS is that addition, subtraction, and multiplication with each residue are performed independently, which provides parallel, carry-free, and high-speed computer arithmetic. On the other hand, non-modular operations that require estimating the magnitude of a number by its residues are challenging to implement in RNS since there is no parallel form for them.
This paper provides an overview of research on the implementation and practical application of high-performance computational techniques for RNS. More specifically, the paper addresses the following two aspects: (In Russian).


Key words: system of residual classes, non-modular operations, high performance computing, parallel algorithms.

article citation

http://psta.psiras.ru/read/psta2021_2_137-192.pdf

DOI

https://doi.org/10.25209/2079-3316-2021-12-2-137-192

• Содержание выпуска •
• Methods for Optimal Control and Control Theory •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •

 

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