| Titre : |
Analog VLSI integration of massive parallel processing systems |
| Type de document : |
texte imprimé |
| Auteurs : |
Peter Kinget, Auteur ; Michiel Steyaert, Auteur |
| Editeur : |
Kluwer Academic Publishers |
| ISBN/ISSN/EAN : |
978-0-7923-9823-3 |
| Langues : |
Anglais (eng) |
| Catégories : |
Informatique
Informatique:Systèmes
|
| Index. décimale : |
003 Les Systèmes |
| Résumé : |
When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. |
Analog VLSI integration of massive parallel processing systems [texte imprimé] / Peter Kinget, Auteur ; Michiel Steyaert, Auteur . - [S.l.] : Kluwer Academic Publishers, [s.d.]. ISBN : 978-0-7923-9823-3 Langues : Anglais ( eng)
| Catégories : |
Informatique
Informatique:Systèmes
|
| Index. décimale : |
003 Les Systèmes |
| Résumé : |
When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. |
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