Title :
Row-Based Analysis of Structure Power/Ground Grids with General Purpose GPU
Author :
Yang Xu ; Tang Liang ; Huang Kun ; Zhao Guoxing ; Xing Xingxing ; Luo Zuying
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China
Abstract :
As mega-scale power/ground (P/G) grids came into being, the IR drop analysis is of the daunting computational complexity. By taking the topological advantage of the structure P/G grids, this work uses the row-based analysis method to transform the mesh-circuit analysis into many parallel triangle-diagonal row-circuit analyses of far smaller complexity. Then, the Graphics Process Unit (GPU) is employed to fast solve these row circuits in the parallel style. And this work further employs the LU decomposition of the triple-diagonal matrix to increase the efficiency of our method. Experimental results show that our method out-performs the traditional methods implemented on CPU. For mega-scale P/G grids of 1-4 million nodes, our GPU-implemented method is 9-12 times faster than its CPU counterpart and 2-3 times faster than its OpenMP counterpart.
Keywords :
circuit analysis computing; computational complexity; coprocessors; IR drop analysis; LU decomposition; computational complexity; general purpose GPU; graphics process unit; mesh-circuit analysis; parallel triangle-diagonal row-circuit analysis; row-based analysis; structure power/ground grids; triple-diagonal matrix; Algorithm design and analysis; Central Processing Unit; Equations; Graphics processing unit; Linear systems; Mathematical model; Partitioning algorithms; GP-GPU; P/G grid analysis; Row-based algorithm;
Conference_Titel :
Computer-Aided Design and Computer Graphics (CAD/Graphics), 2011 12th International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4577-1079-7
DOI :
10.1109/CAD/Graphics.2011.21