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ESCIENCE
2006
IEEE
14 years 3 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
HPCC
2009
Springer
14 years 1 months ago
Load Scheduling Strategies for Parallel DNA Sequencing Applications
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
Sudha Gunturu, Xiaolin Li, Laurence Tianruo Yang
FGCS
2010
119views more  FGCS 2010»
13 years 7 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
IPPS
2007
IEEE
14 years 3 months ago
Challenges in Mapping Graph Exploration Algorithms on Advanced Multi-core Processors
Multi-core processors are a shift of paradigm in computer architecture that promises a dramatic increase in performance. But multi-core processors also bring an unprecedented leve...
Oreste Villa, Daniele Paolo Scarpazza, Fabrizio Pe...
IPPS
2006
IEEE
14 years 3 months ago
Exploring the design space of an optimized compiler approach for mesh-like coarse-grained reconfigurable architectures
In this paper we study the performance improvements and trade-offs derived from an optimized mapping approach applied on a parametric coarse grained reconfigurable array architect...
Grigoris Dimitroulakos, Michalis D. Galanis, Const...