DocumentCode
703934
Title
Computing approximately, and efficiently
Author
Venkataramani, Swagath ; Chakradhar, Srimat T. ; Roy, Kaushik ; Raghunathan, Anand
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
2015
fDate
9-13 March 2015
Firstpage
748
Lastpage
751
Abstract
Recent years have witnessed significant interest in the area of approximate computing. Much of this interest stems from the quest for new sources of computing efficiency in the face of diminishing benefits from technology scaling. We argue that trends in computing workloads will greatly increase the opportunities for approximate computing, describe the vision and key principles that have guided our work in this area, and outline a range of approximate computing techniques that we have developed at all layers of the computing stack, spanning circuits, architecture, and software.
Keywords
inference mechanisms; power aware computing; approximate computing techniques; computing efficiency; computing stack; computing workloads; spanning circuits; technology scaling; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computer architecture; Hardware; Resilience; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
Conference_Location
Grenoble
Print_ISBN
978-3-9815-3704-8
Type
conf
Filename
7092486
Link To Document