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ESCIENCE
2006
IEEE
15 years 8 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...
141
Voted
PPOPP
2006
ACM
15 years 8 months ago
On-line automated performance diagnosis on thousands of processes
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Philip C. Roth, Barton P. Miller
119
Voted
MASS
2010
119views Communications» more  MASS 2010»
15 years 16 days ago
Energy-efficient data redistribution in sensor networks
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...
Bin Tang, Neeraj Jaggi, Haijie Wu, Rohini Kurkal
MOBISYS
2010
ACM
15 years 5 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
111
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CORR
2010
Springer
180views Education» more  CORR 2010»
15 years 2 months ago
Dependability in Aggregation by Averaging
Abstract. Aggregation is an important building block of modern distributed applications, allowing the determination of meaningful properties (e.g. network size, total storage capac...
Paulo Jesus, Carlos Baquero, Paulo Sérgio A...