Pervasive

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• astronomical dataset
• clustering
• data mining
• dataflow
• DataRush
• density based clustering
• density-based clustering
• distributed clustering
• HALO project
• HPCwire
• intel
• james reinders
• java
• KDD
• knowledge discovery
• Nena Marin
• Netflix data
• parallelism
• performance
• Pervasive
• software
• stellar discovery
• TACC
• terascale
• UT

• Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomical Datasets.

  The process of stellar discovery has long made its home at High Performance Computing (HPC) systems. HPC systems have evolved into clusters of "fat" multicore nodes. Applications must take advantage of parallelism across nodes and at the node... Posted Jul 02 2010, 09:47 AM by n5712036 with | with 1 comment(s) Filed under: DataRush, HPC, dataflow, Nena Marin, terascale, density based clustering, astronomical dataset, distributed clustering, stellar discovery

• Intel's James Reinders on parallelism

  This article by Gordon Haff provides some interesting insights into Intel's thinking around software parallelization. At Pervasive , we talk about the trade-off of using Java to build a framework like DataRush versus a "lower level" programming... Posted Nov 05 2009, 10:36 AM by jfalgout with | with no comments Filed under: DataRush, performance, HPC, java, Pervasive, james reinders, software, parallelism, intel

• Density-Based Clustering

  Data Mining and the knowledge discovery process seeks to find patterns in data. A common approach to pattern recognition is clustering . In recently published work ( KDD 2009), a dataflow implementation of kmeans and later two dimensional kmeans (co-clustering... Posted Sep 01 2009, 01:43 PM by n5712036 with | with 1 comment(s) Filed under: Netflix data, data mining, HPC, HPCwire, density-based clustering, knowledge discovery, clustering, KDD, dataflow, HALO project, TACC, UT