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» Fast simulation of large-scale growth models
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CGA
2007
13 years 5 months ago
Fast Simulation of Laplacian Growth
— Laplacian instability is the physical mechanism that drives pattern formation in many disparate natural phenomena. However, current algorithms for simulating this instability a...
Theodore Kim, Jason Sewall, Avneesh Sud, Ming C. L...
DATE
2005
IEEE
164views Hardware» more  DATE 2005»
13 years 7 months ago
Fast and Accurate Transaction Level Modeling of an Extended AMBA2.0 Bus Architecture
Transaction Level Modeling (TLM) approach is used to meet the simulation speed as well as cycle accuracy for large scale SoC performance analysis. We implemented a transaction-lev...
Young-Taek Kim, Taehun Kim, Youngduk Kim, Chulho S...
ICTAI
2006
IEEE
13 years 11 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
EURODAC
1994
IEEE
211views VHDL» more  EURODAC 1994»
13 years 9 months ago
Advanced simulation and modeling techniques for hardware quality verification of digital systems
synchronisation also play a fundamental role in overall system robustness. ElectroMagnetic Compatibility (EMC) and ElectroMagnetic Interference (EMI) issues also have to be conside...
S. Forno, Stephen Rochel
BMCBI
2010
149views more  BMCBI 2010»
13 years 5 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...