A parallel algorithm for matrix multiplication of compressed Z order data structures
被引:0
作者:
Scott, K
论文数: 0引用数: 0
h-index: 0
机构:
Univ Alaska Anchorage, Anchorage, AK 99508 USAUniv Alaska Anchorage, Anchorage, AK 99508 USA
Scott, K
[1
]
机构:
[1] Univ Alaska Anchorage, Anchorage, AK 99508 USA
来源:
PROCEEDINGS OF THE ISCA 20TH INTERNATIONAL CONFERENCE ON COMPUTERS AND THEIR APPLICATIONS
|
2005年
关键词:
matrix multiplication;
Z order;
P-trees;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Because matrix multiplication is an important and costly operation, it is a candidate for performance improvement through parallel and distributed computation. Using Z order in a new way it is possible to represent bit matrices in tree form and devise a corresponding algorithm. The advantages gained are: Matrix compression; Obviation of finding dot products for rows or columns of all 0's; The use of bit operations to do the multiplication; The ability to subdivide the problem at multiple levels.
引用
收藏
页码:453 / 458
页数:6
相关论文
共 3 条
[1]
Anton Howard., 2002, Contemporary Linear Algebra