Pervasive

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• Is Your Big Data Problem Solved Yet?

  We’re certainly more informed these days. And even my grandmother is hearing of the challenges of big data. But after listening to DM Radio last week, Avoiding Bottlenecks and Hurdles in Data Delivery , the big data crisis appears to be subsiding according... Posted Oct 20 2011, 10:21 AM by livey with | with no comments Filed under: Multicore, big data, Analytics, Bottlenecks

• 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

• 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

• Hadoop as a stepping stone ...

  Gordon Brown posted a blog on Redfin commenting on a presentation by Jeff Hammerbacher discussing the use of Hadoop at Facebook.Having solved many big data problems at Facebook, Jeff has great credibility in this area. Jeff discusses how Hadoop was used... Posted Jun 09 2010, 04:09 PM by jfalgout with | with 3 comment(s) Filed under: DataRush, Multicore, java, Intel James Reinders parallelism Java HPC performance datarush pervasive software, big data, Facebook, malstone, Hadoop

• Cores, Cores Everywhere But Not a Thread to Switch

  As Intel and Advanced Micro Devices battle it out for processor dominance, we as consumers are finding faster and faster computers for increasingly lower prices. Quad core systems are now common place. Recent announcements from Intel on their new Xeon... Posted Apr 01 2010, 07:46 AM by azeemj with | with 1 comment(s) Filed under: Multicore, dataflow model, parallelizing, software solutions, Developers, parallel programming, multicore challenges, recoding, multi-threaded applications

• What would I do with 48 cores?

  I mentioned in an earlier blog, the contest sponsored by AMD around the release of their 12-core 6100 series processors. With a 4p system that gives you 48 cores on a single box! This is an amazing amount of compute power in a very compact form. This... Posted Mar 15 2010, 11:34 AM by jfalgout with | with 6 comment(s) Filed under: DataRush, Multicore, AMD, dataflow, java, data-intensive applications, algorithms, big data, 12 cores, parallel, terabyte an hour, terabyte, cyber security

• HIMSS 2010 - DataRush in Health IT making a difference in patient care

  The DataRush team just returned from attending the HIMSS 2010 conference in Atlanta (March 1-4 th ). HIMSS is traditionally a large conference. As massive as the Atlanta convention center is, this year once again HIMSS filled the venues. Total attendance... Posted Mar 11 2010, 08:13 AM by n5712036 with | with no comments Filed under: DataRush, Data Matching, Predictive Analytics, multicore revolution, Multicore, Datarush team, accurate, accuracy, data mining, dataflow, java, Pervasive, java applications, building block of predictive analytics, DataRush engine, dataflow model, bottleneck, predictive health application, DataRush library, DataRush applications, scalable, data-intensive applications, Pervasive Software, dataflow MPI map/reduce teraflops terabytes, java virtual machine, Java performance, algorithms, datarush-analytics, data parallelism

• Government Data Mining Opportunities Abound

  Government data , when made available and presented effectively, can provide useful information to organizations and citizens alike. Star News Online presents compelling possibilities in the article, “Local Governments Offer Data to Miners.” From school... Posted Dec 14 2009, 03:17 PM by Richard Maddox with | with no comments Filed under: Development articles, Pervasive DataRush, Multicore, data mining, DataRush applications, improve data usefulness, government data

• Quicker Dataflows by Duplicating Effort

  Using the dataflow model of DataRush makes writing high-throughput applications easier, but a dataflow graph is still only going to be as fast as its slowest operator. The standard solution is to replace the slow operation with a subgraph, which does... Posted Oct 07 2009, 04:01 PM by kirwin with | with no comments Filed under: DataRush, Multicore, parallel processing, performance, cost tradeoffs, stateless versus stateful, dataflow model

• Text Mining to extract content from Netflix Prize Movie Titles

  We recently published a recommender system built on collaborative filtering principles. While collaborative filtering proved effective in predicting ratings of movies by users based on historical community movie ratings, we would like to consider a content... Posted Sep 22 2009, 04:34 PM by n5712036 with | with no comments Filed under: Predictive Analytics, Pervasive DataRush, Multicore, parallel processing, Netflix, Netflix data, Netflix Prize, collaborative filter, data mining, knowledge discovery, KDD, dataflow, parallel data mining, SIGKDD, recommender, Zipfian, stopword, WordNet, information extraction, tokenizer, Zipf's law, text mining, stemmer

• Ease of Use with Multicore Adoption

  Are you ready for the Multicore Revolution? Many organizations are finding themselves weighed down and aren’t utilizing their commodity hardware to reach its full potential. Nor is software scaling to exploit the full impact of the multicore processing... Posted Aug 11 2009, 03:25 PM by livey with | with no comments Filed under: JavaOne, you tube, Jim Falgout, multicore revolution, Multicore, Community One, AMD, parallel processing