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Intel Wants Open-Source Analytics

Seeking big data hardware accelerators
7/7/2014 09:00 AM EDT
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MClayton0
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Open Source Analytics links and forecast needed
MClayton0   7/18/2014 9:36:58 AM
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Intel has a long history using SAS and its visualization front-end JMP.

Both of those products now support augmentation with the open source R language.

So prototyping the analytics needed to support Hadoop cloud technology is probably underway using SAS/JMP and R.  But there is much more open source software that emulates the MATLAB engineering math tools, which are probably a second part of the mix. I am sure that by now (Its already 11 days since this article was posted) there must be many more web postings on the big data analytics open source catalog of tools and even the likely need of GUI's to supported them in office world.  So how about another update on that catalog and perhaps current global usage trends?  Machine learning algorithms, for example, used by everyone from engineers to marketers and economists could be found in open source.  Many big data blogs are hyping all of these open source tools.  Somebody needs to mine those blogs, talk to Intel, and forecast some scenarios for "the rest of us."  You might be just that forecaster.

DrQuine
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Open Source Big Data - and Parallel Processing
DrQuine   7/23/2014 8:45:56 AM
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Parallel processing is a valuable tool in big data mining. Adding tools that support user friendly parallel processing would make the chip set even more useful.

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David Patterson, known for his pioneering research that led to RAID, clusters and more, is part of a team at UC Berkeley that recently made its RISC-V processor architecture an open source hardware offering. We talk with Patterson and one of his colleagues behind the effort about the opportunities they see, what new kinds of designs they hope to enable and what it means for today’s commercial processor giants such as Intel, ARM and Imagination Technologies.