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» Complexity in scalable computing
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COLING
2008
14 years 11 months ago
Scaling up Analogical Learning
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
Philippe Langlais, François Yvon
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 3 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
VLSID
2004
IEEE
170views VLSI» more  VLSID 2004»
15 years 10 months ago
On-chip networks: A scalable, communication-centric embedded system design paradigm
As chip complexity grows, design productivity boost is expected from reuse of large parts and blocks of previous designs with the design effort largely invested into the new parts...
Jörg Henkel, Srimat T. Chakradhar, Wayne Wolf
76
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VMCAI
2009
Springer
15 years 4 months ago
A Scalable Memory Model for Low-Level Code
Abstract. Because of its critical importance underlying all other software, lowlevel system software is among the most important targets for formal verification. Low-level systems...
Zvonimir Rakamaric, Alan J. Hu
86
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CASES
2008
ACM
14 years 11 months ago
Efficiency and scalability of barrier synchronization on NoC based many-core architectures
Interconnects based on Networks-on-Chip are an appealing solution to address future microprocessor designs where, very likely, hundreds of cores will be connected on a single chip...
Oreste Villa, Gianluca Palermo, Cristina Silvano