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» Massively parallel computing using commodity components
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CLUSTER
2008
IEEE
13 years 8 months ago
Benchmarking the effects of operating system interference on extreme-scale parallel machines
We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the no...
Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Su...
EUROPAR
2009
Springer
13 years 6 months ago
Parallel Variable-Length Encoding on GPGPUs
Variable-Length Encoding (VLE) is a process of reducing input data size by replacing fixed-length data words with codewords of shorter length. As VLE is one of the main building bl...
Ana Balevic
IPPS
1999
IEEE
14 years 1 months ago
Developing Parallel Applications Using the JAVAPORTS Environment
The JavaPorts system is an environment that facilitates the rapid development of modular, reusable, Java-based parallel and distributed applications for networked machines with het...
Demetris G. Galatopoullos, Elias S. Manolakos
CLUSTER
2007
IEEE
14 years 3 months ago
Sequential and parallel implementation of a constraint-based algorithm for searching protein structures
— Data mining in biological structure libraries can be a powerful tool to better understand biochemical processes. This article introduces the LISA algorithm which enables the re...
Sascha Hunold, Thomas Rauber, Georg Wille
CIARP
2004
Springer
14 years 2 months ago
Parallel Algorithm for Extended Star Clustering
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
Reynaldo Gil-García, José Manuel Bad...