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» Massively parallel computing using commodity components
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CLUSTER
2008
IEEE
15 years 6 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
15 years 3 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
15 years 10 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
16 years 10 days 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
15 years 11 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...