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» Maximal Vector Computation in Large Data Sets
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152
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BMCBI
2008
133views more  BMCBI 2008»
15 years 4 months ago
CORE_TF: a user-friendly interface to identify evolutionary conserved transcription factor binding sites in sets of co-regulated
Background: The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false po...
Matthew S. Hestand, Michiel van Galen, Michel P. V...
180
Voted
BMCBI
2008
214views more  BMCBI 2008»
15 years 4 months ago
Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
IJHPCA
2010
105views more  IJHPCA 2010»
15 years 3 months ago
A Pipelined Algorithm for Large, Irregular All-Gather Problems
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
Jesper Larsson Träff, Andreas Ripke, Christia...
189
Voted
PLDI
2003
ACM
15 years 9 months ago
Compile-time dynamic voltage scaling settings: opportunities and limits
With power-related concerns becoming dominant aspects of hardware and software design, significant research effort has been devoted towards system power minimization. Among run-t...
Fen Xie, Margaret Martonosi, Sharad Malik
CVPR
2010
IEEE
16 years 17 days ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik