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