Tasks scaling with Chameleon© C2HDL design tool in self-configurable Computer Systems based on partially reconfigurable FPGAs

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Date

2016

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Publishing House of Lviv Polytechnic National University

Abstract

The FPGA-based accelerators and reconfigurable computer systems based on them require designing the application-specific processor soft-cores and are effective for certain classes of problems only, for which application-specific processor soft-cores were previously developed. In Self-Configurable FPGA-based Computer Systems the problem of designing the application-specific processor soft-cores is solved with use of the C2HDL tools, allowing them to be generated automatically. In this paper, we study the questions of the self-configurable computer systems efficiency increasing with use of the partially reconfigurable FPGAs and Chameleon© C2HDL design tool. One of the features of the Chameleon© C2HDL design tool is its ability to generate a number of applicationspecific processor soft-cores executing the same algorithm that differ by the amount of FPGA resources required for their implementation. If the self-configurable computer systems are based on partially reconfigurable FPGAs, this feature allows them to acquire in every moment of its operation such a configuration that will provide an optimal use of its reconfigurable logic at a given level of hardware multitasking.

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Keywords

self-configurable computer systems, fieldprogrammable gate arrays, high-performance computing, reconfigurable computing, hardware multitasking, C2HDL design tools

Citation

Melnyk A. Tasks scaling with Chameleon© C2HDL design tool in self-configurable Computer Systems based on partially reconfigurable FPGAs / Anatoliy Melnyk, Viktor Melnyk, Liubomyr Tsyhylyk // Advances in Cyber-Physical Systems. – 2016. – Volume 1, number 1. – P. 31–38. – Bibliography: 14 titles.

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