文件列表:

Analysis.docx (29540, 2014-05-26)
trila.cu (4087, 2014-05-26)

CUDAProg ======== Basic CUDA programming The goal of the project is to compute the trail of a simulated moving object with high performance. 2D trilateration is used to locate the position of the object. GPU Algorithm: The CUDA kernel function includes the locations of three guarding points a, b and c. It also includes a very large set of 3-place tuples, each represented by three distances da, db and dc. The kernel program performs 2D triangulation for each tuple and for every 4 consecutive trilateration results, it computes the average. Simulated Data Generation: The CPU-side of the program generates the large set of data by defining random trail to populate the data arrays. With this generation strategy, the program is self-verifiable - the average of every 4 consecutive values generated previously should correspond with the result of CUDA program. In the end, analysis is performed by varying the size of the 3-place tuple set, and changing the block size and thread size parameters of the CUDA card resulting in a total combination of 28 settings.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：