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» A Data Model for Effectively Computable Functions
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2000
ACM
15 years 2 months ago
Improving Fine-Grained Irregular Shared-Memory Benchmarks by Data Reordering
We demonstrate that data reordering can substantially improve the performance of fine-grained irregular sharedmemory benchmarks, on both hardware and software shared-memory syste...
Y. Charlie Hu, Alan L. Cox, Willy Zwaenepoel
BMCBI
2007
157views more  BMCBI 2007»
14 years 10 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ICDCN
2011
Springer
14 years 1 months ago
Mining Frequent Subgraphs to Extract Communication Patterns in Data-Centres
In this paper, we propose to use graph-mining techniques to understand the communication pattern within a data-centre. We model the communication observed within a data-centre as a...
Maitreya Natu, Vaishali P. Sadaphal, Sangameshwar ...
JCNS
2000
84views more  JCNS 2000»
14 years 9 months ago
Nonlinear Thermodynamic Models of Voltage-Dependent Currents
Hodgkin and Huxley provided the first quantitative description of voltage-dependent currents and adjusted their model to experimental data using empirical functions of voltage. A p...
Alain Destexhe, John R. Huguenard
CGF
2004
74views more  CGF 2004»
14 years 9 months ago
VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data
We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots are a point-based representation of volumetric data. An individual Vo...
Sören Grimm, Stefan Bruckner, Armin Kanitsar,...