An improved data parallel algorithm for Boolean function manipulation using BDDs

Author(s):  
S. Gai ◽  
M. Rebaudengo ◽  
Sonza Reorda M.
2014 ◽  
Vol 23 (01) ◽  
pp. 1450015 ◽  
Author(s):  
GEORGE PAPAKONSTANTINOU

Two parallel algorithms are proposed in this paper for solving the problem of finding exact exclusive-or sum of products (ESOP) expressions for an arbitrary Boolean function. This minimization problem is a very difficult one and solutions have been proposed only for up to seven variables. The processing time for some symmetric functions of seven variables is of the order of weeks. The proposed algorithm is a hybrid one (OpenMP, MPI) and a speed-up of more than nine could be achieved, for a cluster of three nodes with four cores each.


Author(s):  
Nuno A. Fonseca ◽  
Fernando Silva ◽  
Vitor Santos Costa ◽  
Rui Camacho

1992 ◽  
Author(s):  
Biondo Biondi ◽  
W. D. Moorhead

1993 ◽  
Vol 19 (7) ◽  
pp. 1051-1063 ◽  
Author(s):  
Kim Mills ◽  
Ferenc Csillag ◽  
Maher Kaddoura

1993 ◽  
Vol 19 (12) ◽  
pp. 1345-1358 ◽  
Author(s):  
F.B Hanson ◽  
Jing-Dong Mei ◽  
Charles Tier ◽  
Huihuang Xu

2017 ◽  
Author(s):  
Christopher Meyer Sewell ◽  
James Paul Ahrens ◽  
Hamish Carr ◽  
Gunther Weber

2012 ◽  
Vol 155-156 ◽  
pp. 37-41 ◽  
Author(s):  
Zheng Kang Zhou ◽  
Jian Wang ◽  
Hua Cheng Zhao

With the ever increasing resolution of scanned elevations, the efficiency of terrain rendering is still unsatisfactory in three-dimensional visualization. In order to improve the speed of terrain rendering, we had studied the root cause of the undesirable visualization efficiency in Visual Terrain Project, and found that one of the performance limitations was elevation color generation step. Therefore, we proposed a modified algorithm on the basis of data parallel mode, which can be well performed on GPU. Experimental results show that application performance is raised significantly by data parallel algorithm, and the improved algorithm can obtain satisfactory simulation results via CUDA.


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