Title :
Design and Implementation of Jacobi Algorithms on GPU
Author :
Lin, Jinxian ; Chen, Ying
Author_Institution :
Network Inf. Center, Fuzhou Univ., Fuzhou, China
Abstract :
With the development of GPU, the GPU´s float-point computing capacity improves rapidly. How to apply the float-point ability of GPU to the non-graphic computing field becomes a highlight in the research of high performance computing. Jacobi is a typical application in scientific computing. This paper designs and implements Jacobi Algorithm on Nvidia´s CUDA platform and gets a good speedup compared with the CPU.
Keywords :
computer graphic equipment; coprocessors; floating point arithmetic; linear algebra; GPU; Jacobi algorithms; Nvidia CUDA platform; float-point computing; high performance computing; Algorithm design and analysis; Graphics; Graphics processing unit; Instruction sets; Jacobian matrices; Kernel; Vectors; GPU; HPC; Jacobi Algorithms;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.100
