Project Details

Natural computing na nekonvenčních platformách

Project Period: 1. 1. 2010 – 31. 12. 2013

Project Type: grant

Code: GAP103/10/1517

Agency: Czech Science Foundation

Program: Standardní projekty

English title
Natural Computing on Unconventional Platforms
Type
grant
Keywords

evolutionary algorithms, cellular automata, GPU, FPGA, natural computing

Abstract

The project proposes new methods and platforms for the implementation of natural computing applications. The project hypothesis is that by using a suitable unconventional platform and suitably modified existing nature-inspired algorithm, an improvement of chosen performance criterion can be obtained for a particular application in comparison with the state of the art conventional implementations of the same application. The unconventional platforms include graphics processing units (GPUs) and field programmable gate arrays (FPGAs) that will be utilized for general purpose computing in this project. Reconfigurable polymorphic chips and printed electronics represent more exotic platforms in the project. As representatives of natural computing algorithms we will develop evolutionary algorithms and cellular automata on proposed platforms. Evolutionary algorithms will be evaluated on problems such as evolutionary circuit design, optimization of communication schedules, multi-objective optimization etc. Self-replication and road traffic simulation are typical evaluation tasks for proposed cellular automata implementations. Developed systems will be compared in terms of performance, cost, power consumption and flexibility.

 

Team members
Publications

2015

2013

2012

2011

2010

Back to top