A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation

被引:0
作者
Yamashita, Kohei [1 ]
Ito, Yasuaki [1 ]
Nakano, Koji [1 ]
机构
[1] Hiroshima Univ, Dept Informat Engn, Kagamiyama 1-4-1, Higashihiroshima 7398527, Japan
来源
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I | 2018年 / 10777卷
关键词
GPGPU; CUDA; Triangulation; Dynamic programming; Parallel algorithms; Bulk execution;
D O I
10.1007/978-3-319-78024-5_28
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The optimal polygon triangulation problem for a convex polygon is an optimization problem to find a triangulation with minimum total weight. It is known that this problem can be solved using the dynamic programming technique in O(n(3)) time. The main contribution of this paper is to present an efficient parallel implementation of this O(n(3))-time algorithm for a lot of instances on the GPU (Graphics Processing Unit). In our proposed GPU implementation, we focused on the computation for a lot of instances and considered programming issues of the GPU architecture such as coalesced access of the global memory, warp divergence. Our implementation solves the optimal polygon triangulation problem for 1024 convex 1024-gons in 4.77 s on the NVIDIA TITAN X, while a conventional CPU implementation runs in 241.53 s. Thus, our GPU implementation attains a speedup factor of 50.6.
引用
收藏
页码:314 / 323
页数:10
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