Triangular Matrix Inversion on Heterogeneous Multicore Systems

被引:13
作者
Ries, Florian [1 ]
De Marco, Tommaso [1 ]
Guerrieri, Roberto [1 ]
机构
[1] E De Castro ARCES, Adv Res Ctr Elect Syst Informat & Commun Technol, I-40123 Bologna, Italy
关键词
Matrix inversion; parallel processing; GRAPHICS;
D O I
10.1109/TPDS.2011.103
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-based dense matrix inversion algorithm involves the inversion of one or two triangular matrices. In this work, we present an improved implementation of a parallel triangular matrix inversion for heterogeneous multicore CPU/dual-GPU systems.
引用
收藏
页码:177 / 184
页数:8
相关论文
共 20 条
[1]  
ANDERSON E., 1999, LAPACK USERSGUIDE, V3rd
[2]  
[Anonymous], 2008, NVIDIA CUDA COMP UN
[3]  
[Anonymous], P C HIGH PERF COMP N
[4]  
Balle S. M., 1994, Advances in parallel algorithms, P22
[5]  
Barrachina S, 2008, LECT NOTES COMPUT SC, V5168, P739, DOI 10.1007/978-3-540-85451-7_79
[6]  
Bazaraa M.S., 1990, LINEAR PROGRAMMING N, DOI DOI 10.1002/0471787779
[7]   OpenMP: An industry standard API for shared-memory programming [J].
Dagum, L ;
Menon, R .
IEEE COMPUTATIONAL SCIENCE & ENGINEERING, 1998, 5 (01) :46-55
[8]  
Galoppo N., 2005, Proceedings of the 2005 ACM/IEEE conference on Supercomputing, IEEE Computer Society, P3, DOI DOI 10.1109/SC.2005.42
[9]   Local linear estimators for the bioelectromagnetic inverse problem [J].
Greenblatt, RE ;
Ossadtchi, A ;
Pflieger, ME .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (09) :3403-3412
[10]   Review on solving the forward problem in EEG source analysis [J].
Hallez, Hans ;
Vanrumste, Bart ;
Grech, Roberta ;
Muscat, Joseph ;
De Clercq, Wim ;
Vergult, Anneleen ;
D'Asseler, Yves ;
Camilleri, Kenneth P. ;
Fabri, Simon G. ;
Van Huffel, Sabine ;
Lemahieu, Ignace .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2007, 4 (1)