TY - GEN
T1 - A fully generalized over operator with applications to image composition in parallel visualization for big data science
AU - Chu, Dongliang
AU - Wu, Chase
AU - Wang, Zongmin
AU - Wang, Yongqiang
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The over operator is commonly used for α-blending in various visualization techniques. In the current form, it is a binary operator and must respect the restriction of order dependency, hence posing a significant performance limit. This paper proposes a fully generalized version of this operator. Compared with its predecessor, the fully generalized over operator is not only n-operator compatible but also any-order friendly. To demonstrate the advantages of the proposed operator, we apply it to the asynchronous and order-dependent image composition problem in parallel visualization for big data science and further parallelize it for performance improvement. We conduct theoretical analyses to establish the performance superiority of the proposed over operator in comparison with its original form, which is further validated by extensive experimental results in the context of real-life scientific visualization.
AB - The over operator is commonly used for α-blending in various visualization techniques. In the current form, it is a binary operator and must respect the restriction of order dependency, hence posing a significant performance limit. This paper proposes a fully generalized version of this operator. Compared with its predecessor, the fully generalized over operator is not only n-operator compatible but also any-order friendly. To demonstrate the advantages of the proposed operator, we apply it to the asynchronous and order-dependent image composition problem in parallel visualization for big data science and further parallelize it for performance improvement. We conduct theoretical analyses to establish the performance superiority of the proposed over operator in comparison with its original form, which is further validated by extensive experimental results in the context of real-life scientific visualization.
UR - http://www.scopus.com/inward/record.url?scp=84946563094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946563094&partnerID=8YFLogxK
U2 - 10.1109/PADSW.2014.7097854
DO - 10.1109/PADSW.2014.7097854
M3 - Conference contribution
AN - SCOPUS:84946563094
T3 - Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
SP - 560
EP - 567
BT - 2014 20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Proceedings
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014
Y2 - 16 December 2014 through 19 December 2014
ER -