Online Spatio-Temporal Learning with Target Projection
Thomas Ortner, Lorenzo Pes, et al.
AICAS 2023
We describe a new parallel polygon-clipping algorithm based on a novel technique that allows a processor to compute output vertices independently of the results of the other processors. The basis for the method is a collision-free labeling scheme to compute the labels of the vertices of the output polygon. This labeling scheme depends only on the id of the vertex in the input polygon. This procedure allows us to defer the synchronization between processors to the final stages of the algorithm, reduces the amount of overhead due to fine-grain synchronization, and helps makes the algorithm efficient.
Thomas Ortner, Lorenzo Pes, et al.
AICAS 2023
A.E. Brennemann, R.L. Hollis
IROS 1995
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Hiroyasu Takahashi
ICPR 1992