Sciweavers

449 search results - page 16 / 90
» Optimizing the use of GPU memory in applications with large ...
Sort
View
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
14 years 25 days ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
VLSISP
2008
104views more  VLSISP 2008»
13 years 8 months ago
Guidance of Loop Ordering for Reduced Memory Usage in Signal Processing Applications
Data dominated signal processing applications are typically described using large and multi-dimensional arrays and loop nests. The order of production and consumption of array ele...
Per Gunnar Kjeldsberg, Francky Catthoor, Sven Verd...
VLDB
1998
ACM
180views Database» more  VLDB 1998»
14 years 24 days ago
Active Storage for Large-Scale Data Mining and Multimedia
The increasing performance and decreasing cost of processors and memory are causing system intelligence to move into peripherals from the CPU. Storage system designers are using t...
Erik Riedel, Garth A. Gibson, Christos Faloutsos
ICPR
2000
IEEE
14 years 1 months ago
Scaling-Up Support Vector Machines Using Boosting Algorithm
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
Dmitry Pavlov, Jianchang Mao, Byron Dom
DAC
2002
ACM
14 years 9 months ago
Automatic data migration for reducing energy consumption in multi-bank memory systems
An architectural solution to reducing memory energy consumption is to adopt a multi-bank memory system instead of a monolithic (single-bank) memory system. Some recent multi-bank ...
Victor De La Luz, Mahmut T. Kandemir, Ibrahim Kolc...