• S. S. Shevelev Southwestern State University, Kursk, Russia.



information graph, parallel pipeline structure, modular system, specialized computing units.


Context. Modern general purpose computers are capable of implementing any algorithm, but when solving certain problems in terms of processing speed they cannot compete with specialized computing modules. Specialized devices have high performance, effectively solve the problems of processing arrays, artificial intelligence tasks, and are used as control devices. The use of specialized microprocessor modules that implement the processing of character strings, logical and numerical values, represented as integers and real numbers, makes it possible to increase the speed of performing arithmetic operations by using parallelism in data processing.

Objective. To develop principles for constructing microprocessor modules for a modular computing system with a reconfigurable structure, an arithmetic-symbolic processor, specialized computing devices, switching systems capable of configuring microprocessors and specialized computing modules into a multi-pipeline structure to increase the speed of performing arithmetic and logical operations, high-speed design algorithms specialized processors-accelerators of symbol processing. To develop algorithms, structural and functional diagrams of specialized mathematical modules that perform arithmetic operations in direct codes on neural-like elements and systems for decentralized control of the operation of blocks.

Method. An information graph of the computational process of a modular system with a reconstructed structure has been built. Structural and functional diagrams, algorithms that implement the construction of specialized modules for performing arithmetic and logical operations, search operations and functions for replacing occurrences in processed words have been developed. Software has been developed for simulating the operation of an arithmetic-symbolic processor, specialized computing modules, and switching systems.

Results. A block diagram of a reconfigurable computing modular system has been developed, which consists of compatible functional modules, it is capable of static and dynamic reconfiguration, has a parallel structure for connecting the processor and computing modules through the use of interface channels. The system consists of an arithmetic-symbolic processor, specialized computing modules and switching systems, performs specific tasks of symbolic information processing, arithmetic and logical operations.

Conclusions. The architecture of reconfigurable computing systems can change dynamically during their operation. It becomes possible to adapt the architecture of a computing system to the structure of the problem being solved, to create problem-oriented computers, the structure of which corresponds to the structure of the problem being solved. As the main computing element in reconfigurable computing systems, not universal microprocessors are used, but programmable logic integrated circuits, which are combined using high-speed interfaces into a single computing field. Reconfigurable multipipeline computing systems based on fields are an effective tool for solving streaming information processing and control problems.

Author Biography

S. S. Shevelev , Southwestern State University, Kursk, Russia.

PhD, Associate Professor of the Department of Information Security.


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How to Cite

Shevelev , S. S. (2021). RECONFIGURABLE COMPUTING MODULAR SYSTEM . Radio Electronics, Computer Science, Control, 1(1), 194–207.



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