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...
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
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. ...
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...
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...