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» Advanced High Performance Algorithms for Data Processing
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DATE
2005
IEEE
104views Hardware» more  DATE 2005»
15 years 10 months ago
Queue Management in Network Processors
: - One of the main bottlenecks when designing a network processing system is very often its memory subsystem. This is mainly due to the state-of-the-art network links operating at...
Ioannis Papaefstathiou, Theofanis Orphanoudakis, G...
149
Voted
HIPC
2004
Springer
15 years 10 months ago
Parallel Performance of Hierarchical Multipole Algorithms for Inductance Extraction
Parasitic extraction techniques are used to estimate signal delay in VLSI chips. Inductance extraction is a critical component of the parasitic extraction process in which on-chip ...
Hemant Mahawar, Vivek Sarin, Ananth Grama
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 8 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
174
Voted
HPDC
2007
IEEE
15 years 11 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 10 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...