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EUROPAR
1997
Springer
13 years 8 months ago
A Relational Approach to the Compilation of Sparse Matrix Programs
Abstract. We present a relational algebra based framework for compiling e cient sparse matrix code from dense DO-ANY loops and a speci cation of the representation of the sparse ma...
Vladimir Kotlyar, Keshav Pingali, Paul Stodghill
ICS
1997
Tsinghua U.
13 years 8 months ago
Sparse Code Generation for Imperfectly Nested Loops with Dependences
Standard restructuring compiler tools are based on polyhedral algebra and cannot be used to analyze or restructure sparse matrix codes. We have recently shown that tools based on ...
Vladimir Kotlyar, Keshav Pingali
IWPC
1999
IEEE
13 years 9 months ago
The SPARAMAT Approach to Automatic Comprehension of Sparse Matrix Computations
Automatic program comprehension is particularly useful when applied to sparse matrix codes, since it allows to abstract e.g. from specific sparse matrix storage formats used in th...
Christoph W. Keßler, Craig Smith
NIPS
2003
13 years 6 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
APLAS
2004
ACM
13 years 10 months ago
A MATLAB-Based Code Generator for Sparse Matrix Computations
Abstract. We present a matrix language compiler CMC which translates annotated MATLAB scripts into Fortran 90 programs. Distinguishing features of CMC include its applicability to ...
Hideyuki Kawabata, Mutsumi Suzuki, Toshiaki Kitamu...