Pervasive

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• Pervasive Not Only Presenting But Introducing Pervasive TurboRush for Hive at Hadoop Summit

  Pervasive Software’s Chief Integration Technologist Paul Dingman will be a presenter at Hadoop Summit 2011 on June 29, 2011, in Santa Clara, CA. Paul is participating in the Application and Research track and will present from 1:15 pm to 1:45 pm PDT.... Posted Jun 22 2011, 03:46 PM by Richard Maddox with | with no comments Filed under: DataRush, Pervasive DataRush, parallel processing, Datarush team, Pervasive, DataRush engine, parallelism, parallelizing, parallelization, big data, parallel, Developers, parallel programming, Hadoop, Big Data, Hadoop Summit, Hive, Pervasive TurboRush for Hive

• Pervasive DataRush Chief Technologist Jim Falgout to Speak at AMD Fusion Summit on June 14

  Jim Discusses Leveraging Multicore Systems for Hadoop and HPC Workloads Check out Pervasive DataRush Chief Technologist Jim Falgout at the AMD Fusion Developer Summit June 13-16 at Meydenbauer Center in Bellevue, WA. The Summit includes more than 90 technology... Posted Jun 03 2011, 06:20 PM by Richard Maddox with | with no comments Filed under: DataRush, Pervasive DataRush, multicore revolution, Multicore, AMD, parallel processing, Datarush team, Pervasive, parallelism, multicore processors, Pervasive Software, big data, multi-threaded applications, Hadoop, MapReduce, Big Data

• Intel’s Concurrency Checker confirms powerful scalability of Pervasive DataRush & Pervasive DataMatcher

  The Intel Concurrency Checker can be used to evaluate the performance scaling of applications on multi-core systems and to help further optimize applications. It’s a tool that is used to check application threading and threading concurrency and can also... Posted Jan 17 2011, 11:17 PM by Richard Maddox with | with no comments Filed under: DataRush, Pervasive DataRush, multicore revolution, parallel processing, Pervasive, DataRush engine, parallelism, intel, parallelizing, runtime scalability, DataRush applications, parallelization, multicore processors, Pervasive Software, multicore challenges, multicore hardware, Scalability, data-intensive, MalStone B

• Fully exploit your servers to meet analytic challenges on growing data sets

  We’ll show you how on Dec. 8 Like most software organizations yours probably needs a cost-effective approach to deliver analytics or other data-intensive solutions amid increasing data volumes and growing processing complexity—one that allows you to enhance... Posted Dec 06 2010, 01:04 PM by Richard Maddox with | with no comments Filed under: DataRush, Pervasive DataRush, Jim Falgout, multicore revolution, Multicore, AMD, parallel processing, density-based clustering, clustering, dataflow, Pervasive, DataRush engine, parallelism, intel, parallelizing, runtime scalability, DataRush applications, scalable, parallelization, multicore processors, data-intensive applications, Pervasive Software, datarush-analytics, big data, parallel, parallel programming, multicore challenges, multicore hardware, Scalability, data-intensive, MalStone B, Hadoop, Analytics, density based clustering, distributed clustering, valuable information, dense computing, clusters

• We’ve Crashed Through The 1 Terabyte Wall!

  And we’re not done yet—Pervasive DataRush is now approaching 2 Terabytes/Hour on a single server!! Pervasive® DataRush™ has again proved that you can rapidly process terabytes of data on a single server. Recent tests on an Intel Xeon 7500 processor-based... Posted Apr 13 2010, 10:51 AM by Richard Maddox with | with 1 comment(s) Filed under: DataRush, parallel processing, performance, DataRush engine, parallelism, intel, runtime scalability, terabyte an hour, terabyte

• 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