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» Computing LTS Regression for Large Data Sets
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DAMON
2006
Springer
15 years 5 months ago
Processing-in-memory technology for knowledge discovery algorithms
The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent ...
Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chal...
115
Voted
EUROPAR
2010
Springer
15 years 2 months ago
Generators-of-Generators Library with Optimization Capabilities in Fortress
Abstract. To resolve difficulties in parallel programming, a large number of studies are conducted on parallel skeletons and optimization theorems over skeleton programs. However, ...
Kento Emoto, Zhenjiang Hu, Kazuhiko Kakehi, Kimino...
127
Voted
TJS
2002
136views more  TJS 2002»
15 years 1 months ago
A Virtual Test Facility for the Simulation of Dynamic Response in Materials
The Center for Simulating Dynamic Response of Materials at the California Institute of Technology is constructing a virtual shock physics facility for studying the response of vari...
Julian Cummings, Michael Aivazis, Ravi Samtaney, R...
BMCBI
2008
114views more  BMCBI 2008»
15 years 1 months ago
Testing the Coulomb/Accessible Surface Area solvent model for protein stability, ligand binding, and protein design
Background: Protein structure prediction and computational protein design require efficient yet sufficiently accurate descriptions of aqueous solvent. We continue to evaluate the ...
Marcel Schmidt am Busch, Anne Lopes, Najette Amara...
BMCBI
2008
172views more  BMCBI 2008»
15 years 1 months ago
Compo: composite motif discovery using discrete models
Background: Computational discovery of motifs in biomolecular sequences is an established field, with applications both in the discovery of functional sites in proteins and regula...
Geir Kjetil Sandve, Osman Abul, Finn Drablø...