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» Evaluating Parallel Computing Systems in Bioinformatics
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TPDS
1998
112views more  TPDS 1998»
14 years 9 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino
IPPS
2007
IEEE
15 years 3 months ago
High Performance Java Sockets for Parallel Computing on Clusters
The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently...
Guillermo L. Taboada, Juan Touriño, Ramon D...
PACT
2005
Springer
15 years 3 months ago
On Evaluating the Performance of Security Protocols
Abstract. We use an enhanced operational semantics to infer quantitative measures on systems describing cryptographic protocols. System transitions carry enhanced labels. We assign...
Chiara Bodei, Mikael Buchholtz, Michele Curti, Pie...
BMCBI
2008
108views more  BMCBI 2008»
14 years 9 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...
ISCC
2007
IEEE
211views Communications» more  ISCC 2007»
15 years 3 months ago
High Performance Java Remote Method Invocation for Parallel Computing on Clusters
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...