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» Application of Reduce Order Modeling to Time Parallelization
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PATMOS
2000
Springer
13 years 11 months ago
Data-Reuse and Parallel Embedded Architectures for Low-Power, Real-Time Multimedia Applications
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
CSSE
2008
IEEE
14 years 2 months ago
Application of New Adaptive Higher Order Neural Networks in Data Mining
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Shuxiang Xu, Ling Chen
IPPS
2010
IEEE
13 years 5 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...
IPPS
2010
IEEE
13 years 5 months ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...
ESCIENCE
2006
IEEE
14 years 1 months ago
Using Checkpointing to Enhance Turnaround Time on Institutional Desktop Grids
In this paper, we present a checkpoint-based scheme to improve the turnaround time of bag-of-tasks applications executed on institutional desktop grids. We propose to share checkp...
Patrício Domingues, Artur Andrzejak, Lu&iac...