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CCGRID
2005
IEEE
14 years 1 months ago
A batch scheduler with high level components
In this article we present the design choices and the evaluation of a batch scheduler for large clusters, named OAR. This batch scheduler is based upon an original design that emp...
Nicolas Capit, Georges Da Costa, Yiannis Georgiou,...
IPPS
2010
IEEE
13 years 6 months ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...
ICCS
2007
Springer
14 years 2 months ago
On the Virtues of Generic Programming for Symbolic Computation
The purpose of this study is to measure the impact of C level code polynomial arithmetic on the performances of AXIOM highlevel algorithms, such as polynomial factorization. More p...
Xin Li, Marc Moreno Maza, Éric Schost
EAGC
2004
Springer
13 years 11 months ago
Support for User-Defined Metrics in the Online Performance Analysis Tool G-PM
This paper presents the support for user-defined metrics in the G-PM performance analysis tool. G-PM addresses the demand for aggressive optimisation of Grid applications by using ...
Roland Wismüller, Marian Bubak, Wlodzimierz F...
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler