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144
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IPPS
1997
IEEE
15 years 6 months ago
A Fast Scalable Universal Matrix Multiplication Algorithm on Distributed-Memory Concurrent Computers
We present a fast and scalable matrix multiplication algorithm on distributed memory concurrent computers, whose performance is independent of data distribution on processors, and...
J. Choi
120
Voted
CORR
2008
Springer
82views Education» more  CORR 2008»
15 years 2 months ago
Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation
Kaltofen has proposed a new approach in (Kaltofen, 1992) for computing matrix determinants without divisions. The algorithm is based on a baby steps/giant steps construction of Kr...
Gilles Villard
173
Voted
FOCS
1992
IEEE
15 years 6 months ago
Computing in Solvable Matrix Groups
We announce methods for e cient management of solvable matrix groups over nite elds. We show that solvability and nilpotence can be tested in polynomial-time. Such e ciency seems ...
Eugene M. Luks
153
Voted
CSC
2010
15 years 22 days ago
Efficiency in Computing Correlation Matrix of Wavelet Coefficients by Exploiting Index Structure
Correlation matrices are ubiquitous throughout signal processing, networking and in many areas of science. However, our study of the literature found that there is limited research...
Claude Turner
133
Voted
ICCS
2001
Springer
15 years 7 months ago
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Eun-Jin Im, Katherine A. Yelick