Tasks scaling with Chameleon© C2HDL design tool in self-configurable Computer Systems based on partially reconfigurable FPGAs
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
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.