A multi-functional dot product unit with SIMD architecture for embedded 3D graphics engine

Author(s):  
Yisong Chang ◽  
Jizeng Wei ◽  
Wei Guo ◽  
Jizhou Sun
2016 ◽  
Vol 41 (8) ◽  
pp. 3139-3151
Author(s):  
Shiann-Rong Kuang ◽  
Chih-Yuan Liang ◽  
Ming-Fong Chang

2019 ◽  
Vol 252 ◽  
pp. 03007
Author(s):  
Jakub Smołka ◽  
Kamil Miszta ◽  
Maria Skublewska-Paszkowska ◽  
Edyta Łukasik

Frequently the quality of a path returned by a pathfinding algorithm is more important than the performance of that algorithm. This paper presents a new algorithm, based on A*, which is better suited for use in 3D game engines. The modification was evaluated by a series of comparative tests. The standard A* algorithm was used as a benchmark in the comparisons. The changes in the algorithm consist in using a different heuristic, adding vertex penalties, and post-processing of the path. A custom-built 3D graphics engine was used as the test environment. The paths generated by the new algorithm are a more natural choice for humans than the ones selected by the standard A* algorithm.


2017 ◽  
Vol 20 (3) ◽  
pp. 581-592
Author(s):  
Hyeong Hun Kim ◽  
Hyeon Cheol Park ◽  
Hyeoung Wook Choi ◽  
Su Myung Gang ◽  
Yun Jae Choung
Keyword(s):  

Author(s):  
J. J. Hren ◽  
W. D. Cooper ◽  
L. J. Sykes

Small dislocation loops observed by transmission electron microscopy exhibit a characteristic black-white strain contrast when observed under dynamical imaging conditions. In many cases, the topography and orientation of the image may be used to determine the nature of the loop crystallography. Two distinct but somewhat overlapping procedures have been developed for the contrast analysis and identification of small dislocation loops. One group of investigators has emphasized the use of the topography of the image as the principle tool for analysis. The major premise of this method is that the characteristic details of the image topography are dependent only on the magnitude of the dot product between the loop Burgers vector and the diffracting vector. This technique is commonly referred to as the (g•b) analysis. A second group of investigators has emphasized the use of the orientation of the direction of black-white contrast as the primary means of analysis.


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