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