Title
Algorithm/architecture co-exploration of visual computing on emergent platforms: overview and future prospects
Abstract
Concurrently exploring both algorithmic and architectural optimizations is a new design paradigm. This survey paper addresses the latest research and future perspectives on the simultaneous development of video coding, processing, and computing algorithms with emerging platforms that have multiple cores and reconfigurable architecture. As the algorithms in forthcoming visual systems become increasingly complex, many applications must have different profiles with different levels of performance. Hence, with expectations that the visual experience in the future will become continuously better, it is critical that advanced platforms provide higher performance, better flexibility, and lower power consumption. To achieve these goals, algorithm and architecture co-design is significant for characterizing the algorithmic complexity used to optimize targeted architecture. This paper shows that seamless weaving of the development of previously autonomous visual computing algorithms and multicore or reconfigurable architectures will unavoidably become the leading trend in the future of video technology.
Year
DOI
Venue
2009
10.1109/TCSVT.2009.2031376
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
different level,future prospect,future perspective,reconfigurable architecture,visual experience,forthcoming visual system,autonomous visual computing algorithm,architecture co-design,better flexibility,architecture co-exploration,algorithmic complexity,computing algorithm,emergent platform,optimization,graphs,multicore processing,algorithm design and analysis,visual system,computer architecture,weaving,multicore,dataflow
Visual computing,Architecture,Reconfigurability,Algorithmics,Algorithm design,Design paradigm,Computer science,Algorithm,Dataflow,Multi-core processor
Journal
Volume
Issue
ISSN
19
11
1051-8215
Citations 
PageRank 
References 
5
0.52
69
Authors
4
Name
Order
Citations
PageRank
Gwo Giun Lee19215.89
Yen-Kuang Chen288895.79
Marco Mattavelli353673.02
Euee S. Jang44015.77