DocumentCode :
159777
Title :
Approximate computing for efficient information processing
Author :
Venkataramani, Swagath ; Chakradhar, Srimat T. ; Roy, Kaushik ; Raghunathan, Anand
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2014
fDate :
16-17 Oct. 2014
Firstpage :
9
Lastpage :
10
Abstract :
The gap created due to diminishing benefits from technology scaling on the one hand, and projected growth in computing demand from future workloads on the other, leads to a need for new sources of computing efficiency. Fortunately, the workloads that are driving demand across the computing spectrum also present new opportunities. At the server end, the demand for computing is driven by the need to organize, analyze, interpret, and search through exploding digital data. In mobile devices and deeply embedded systems, the creation and consumption of richer media and the need to interact more naturally and intelligently with users and the environment are trends that drive much of the computing demand.
Keywords :
mobile computing; multimedia systems; approximate computing; computing demand; deeply embedded systems; information processing; media consumption; media creation; mobile devices; technology scaling; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computer architecture; Hardware; Resilience; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Systems for Real-time Multimedia (ESTIMedia), 2014 IEEE 12th Symposium on
Conference_Location :
Greater Noida
Type :
conf
DOI :
10.1109/ESTIMedia.2014.6962339
Filename :
6962339
Link To Document :
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