Hybrid processor population for odor processing
Yazarlar (4)
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | 2012 IEEE International Symposium on Circuits and Systems (ISCAS) | ||
| Kongre Tarihi | / | ||
| Basıldığı Ülke | Basıldığı Şehir | ||
| Bildiri Linki | https://ieeexplore.ieee.org/abstract/document/6271607/ | ||
| UAK Araştırma Alanları |
Halı-Kilim ve Dokuma
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| Özet |
| Some computationally complex problems require complex solutions in terms of number of processors and diversity of computation methods. Metabolic systems are naturally capable of solving complex problems; they are mathematically modelled with hundreds of differential equations. In order to understand those metabolisms or simply replicate their functions in engineering problems, we need a large network of processors that is designed to mimic biological systems. Moreover, many processes take place in metabolic networks are results of collaboration of different types of cells that are randomly located. Therefore, bio-inspired topologically random mega-core networks of hybrid processors are needed to solve complex biological problems. Introducing randomness into a hybrid processor network that employs thousands of processors requires special techniques. We are proposing a solution to mega-core … |
| Anahtar Kelimeler |
