DocumentCode :
3255027
Title :
Physics based computing enabling energy efficiency past moore´s law
Author :
Hasler, J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
679
Lastpage :
682
Abstract :
Physical computing techniques are fueled by recent advances in programmable and configurable large-scale analog circuits and systems enabling a typical factor of 1000 improvement in computational power (Energy) efficiency over their digital counterparts. We want to utilize the physics of computing systems more efficiently; the question is how to engineer such systems. Large-Scale Field Programmable Analog Arrays (FPAA) enable configurable analog approaches. The ability for non-volatile analog memory fuels all other innovations. At the same time, these advances have been building a framework to bring these techniques towards a systems perspective, undergoing a similar transformation seen in digital design through the early VLSI age. Taking inspiration from neurobiological systems further improves the resulting energy efficiency, mimic extremely energy efficient neural computing structures.
Keywords :
analogue storage; field programmable analogue arrays; power aware computing; FPAA; Moores law; configurable analog approaches; digital design; extremely energy efficient neural computing structures; large-scale field programmable analog arrays; neurobiological systems; nonvolatile analog memory; physics based computing; Fabrics; Field programmable analog arrays; Hardware; Routing; Signal processing; Software packages; Switches; FPAA; Reconfigurable Analog; Simulink;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736982
Filename :
6736982
Link To Document :
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