Computational Materials: Experimental Platform
Evolution in materio aim at revealing computational properties
in materials. A bottom-up approach combining methods and theories
from evolutionary algorithms, complex systems and unconventional
computation, is used to explore inherent computational
properties of alternative computational materials. This master's
thesis build on earlier and ongoing research at NTNU focusing
on interfacing materials. Mecobo is a prototype interface platform,
including a physical interface, hardware for stimuli/measurements
and software, developed at NTNU.
The Mecobo platform is intended to serve as a platform for
experimenting with unconventional materials' behavior in a dynamic
complex system. This project describes the existing Mecobo
platform, modications to it and the new extension Cellular Automata
Central Processing Unit (CA CPU). With the new extension,
Mecobo is now capable of modelling dynamic complex
systems with a cellular automata and an unconventional material.
The Cellular Automata Central Processing Unit extension is a
parallel processor with 32 cores, but supports up to and including
64 cores, for controlling each material conguration pin. The
core is implemented as a stack machine optimized for instruction
space. It uses an 8-bit reduced instruction set computing (RISC)
instruction set architecture (ISA).
The modied Mecobo platform is tested and conrmed to
work with several cellular automata rules and a simple model
consisting of a theoretical material with constant response.
Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2012. , 113 p.
ntnudaim:7060, MTDT datateknikk, Komplekse datasystemer
IdentifiersURN: urn:nbn:no:ntnu:diva-18788Local ID: ntnudaim:7060OAI: oai:DiVA.org:ntnu-18788DiVA: diva2:566265
Tufte, Gunnar, Førsteamanuensis