Result Details
Hardware Accelerator of Cartesian Genetic Programming with Multiple Fitness Units
A new accelerator of Cartesian genetic programming is presented in this paper. The accelerator is completely implemented in a single FPGA. The proposed architecture contains multiple instances of virtual reconfigurable circuit to evaluate several candidate solutions in parallel. An advanced memory organization was developed to achieve the maximum throughput of processing. The search algorithm is implemented using the on-chip PowerPC processor. In the benchmark problem (image filter evolution) the proposed platform provides a significant speedup (170) in comparison with a highly optimized software implementation. Moreover, the accelerator is 8 times faster than previous FPGA accelerators of image filter evolution.
Cartesian genetic programming, hardware accelerator, evolutionary circuit design, FPGA
@article{BUT50732,
author="Zdeněk {Vašíček} and Lukáš {Sekanina}",
title="Hardware Accelerator of Cartesian Genetic Programming with Multiple Fitness Units",
journal="COMPUTING AND INFORMATICS",
year="2010",
volume="29",
number="6",
pages="1359--1371",
issn="1335-9150",
url="https://www.fit.vut.cz/research/publication/9421/"
}
Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems, GACR, Doktorské granty, GD102/09/H042, start: 2009-01-30, end: 2012-12-31, completed
Secured, reliable and adaptive computer systems, BUT, Vnitřní projekty VUT, FIT-S-10-1, start: 2010-03-01, end: 2010-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running