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» Computing LTS Regression for Large Data Sets
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ISMB
1997
14 years 11 months ago
SEALS: A System for Easy Analysis of Lots of Sequences
We present a system of programs designed to facilitate sequence analysis projects involving large amounts of data. SEALS (System for Easy Analysis of Lots of Sequences) is a logic...
D. Roland Walker, Eugene V. Koonin
SCP
2008
150views more  SCP 2008»
14 years 9 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
PPOPP
2011
ACM
14 years 20 days ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller
BIBE
2007
IEEE
128views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
QOMA2: Optimizing the alignment of many sequences
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...
Xu Zhang, Tamer Kahveci
VISUALIZATION
2005
IEEE
15 years 3 months ago
View-Dependent Rendering of Multiresolution Texture-Atlases
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...
Henrik Buchholz, Jürgen Döllner