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ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 2 months ago
Boosting for Learning Multiple Classes with Imbalanced Class Distribution
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
Yanmin Sun, Mohamed S. Kamel, Yang Wang 0007
CF
2006
ACM
14 years 2 months ago
Memory efficient parallel matrix multiplication operation for irregular problems
Regular distributions for storing dense matrices on parallel systems are not always used in practice. In many scientific applicati RUMMA) [1] to handle irregularly distributed mat...
Manojkumar Krishnan, Jarek Nieplocha
CORR
2006
Springer
151views Education» more  CORR 2006»
13 years 8 months ago
Fast matrix multiplication is stable
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in the spirit of [D. Bini and G. Lotti, Stability of fast algorithms for matrix m...
James Demmel, Ioana Dumitriu, Olga Holtz, Robert K...
IPPS
1997
IEEE
14 years 2 days 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
ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
14 years 5 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras