Paper Info
Title
FPGA based cellular automata for environmental modeling
Abstract
Cellular automata (CA), an inherently parallel computing paradigm, have been successfully applied to a range of computational problems to model the behavior of complex environmental systems. Field Programmable Gate Arrays (FPGA) are an ideal platform to investigate the hardware (HW) realization of CA models. FPGA based CA accelerators are not new to the scientific community, however mapping CA models to the HW logic remains a major challenge. In the present work we report on computationally intensive CA-based algorithms and their implementation on FPGA. We highlight intrinsic similarities between CA and FPGA and discuss possible constraints and trade-offs towards appropriate mapping of CA-based models and better exploitation of the favorable HW characteristics. We also refer to various FPGA realizations of our CA environmental systems that deliver significant performance evaluation compared to the corresponding software solutions.
Year
DOI
Venue
2012
10.1109/ICECS.2012.6463791
Electronics, Circuits and Systems
Keywords
Field
DocType
cellular automata,ecology,environmental factors,field programmable gate arrays,CA environmental system,CA model mapping,CA-based algorithm,FPGA based CA accelerator,FPGA based cellular automata,HW characteristics,HW logic,complex environmental system behavior,environmental modeling,field programmable gate array,parallel computing paradigm,scientific community,Cellular Automata,FPGA,environmental engineering,modeling,real-time decision support systems
Cellular automaton,Computational problem,Computer science,Field-programmable gate array,Electronic engineering,Software,Environmental modeling,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4673-1259-2
6
0.66
References 
Authors
5
2
Name
Order
Citations
PageRank
Ioannis Vourkas19916.26
Sirakoulis, G.C.21149.55