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153
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ICS
2010
Tsinghua U.
15 years 7 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
137
Voted
IADIS
2008
15 years 6 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...
140
Voted
BMCBI
2005
136views more  BMCBI 2005»
15 years 4 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
PAISI
2010
Springer
15 years 2 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
161
Voted
CLUSTER
2009
IEEE
15 years 2 months ago
Design alternatives for implementing fence synchronization in MPI-2 one-sided communication for InfiniBand clusters
Scientific computing has seen an immense growth in recent years. The Message Passing Interface (MPI) has become the de-facto standard for parallel programming model for distribute...
Gopalakrishnan Santhanaraman, Tejus Gangadharappa,...