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113
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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 2 days ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
87
Voted
IPPS
2006
IEEE
15 years 5 months ago
Improving cache locality for thread-level speculation
With the advent of chip-multiprocessors (CMPs), Thread-Level Speculation (TLS) remains a promising technique for exploiting this highly multithreaded hardware to improve the perfo...
Stanley L. C. Fung, J. Gregory Steffan
IEEEPACT
1999
IEEE
15 years 4 months ago
On Reducing False Sharing while Improving Locality on Shared Memory Multiprocessors
The performance of applications on large shared-memory multiprocessors with coherent caches depends on the interaction between the granularity of data sharing, the size of the coh...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
TSP
2008
146views more  TSP 2008»
14 years 11 months ago
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
Rafal Zdunek, Andrzej Cichocki
ARCS
2012
Springer
13 years 7 months ago
Improving Cache Locality for Ray Casting with CUDA
Abstract: In this paper, we present an acceleration method for texture-based ray casting on the compute unified device architecture (CUDA) compatible graphics processing unit (GPU...
Yuki Sugimoto, Fumihiko Ino, Kenichi Hagihara