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Pushing the Edge of Big Data at Strata+Hadoop World 2014

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Last week I published a blog article about our new Urika-XA™ open platform for extreme analytics. This week, I’d like to tell you about its official launch at the Strata+Hadoop World 2014 conference in the Big Apple. Big data and its entire ecosystem is a dynamic animal and this was evident at Stata+Hadoop World. I’ve attended several of these conferences and other big data events over the years and it’s exciting to see how the user base has changed and grown tremendously. Several of the other vendors I spoke with (who by now are close friends since we always run into each other at conferences) made the same remark. Three years ago, Hadoop World had a smattering of actual users with just a few folks who were at the pilot stage … [Read more...]

Unlocking the Full Potential of Health Data

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The health care industry is facing a challenging transition as it tries to use data more effectively. Gathering, sharing and analyzing patient information is an incredibly challenging process that is contributing to a technological revolution across the health care sector. One of the main challenges in our health care system today is the difficulty in working with patient data, because it exists in a variety of formats, both structured and unstructured, and it often exists in large volumes, making it difficult to handle in many data centers. This is where supercomputing comes into play, and the Oak Ridge National Laboratory (ORNL) is leading a project that is taking key steps forward in driving innovation. According to a recent … [Read more...]

RTM: Essential Imaging for the Oil and Gas Sector

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Reverse time migration (RTM) modeling is a critical component in the seismic processing workflow of oil and gas exploration. RTM imaging enables more accurate imaging in areas of complex structures and velocities by gathering a two-way acoustic image of seismic data in place of a one-way image. As this definition implies, it means creating and analyzing much more data with every seismic model, something that can be incredibly daunting — traditional simulations are already complex and require significant resources. RTM comes in many flavors and is rapidly evolving. Its growth is driving increased geophysical processing requirements: vertical transverse isotropy, tilted transversely isotropic media, least squares/residual shot RTM (aka … [Read more...]

Data is More Valuable than the Hardware it Runs On

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It’s been a while since my last post earlier this year, but we’ve been very busy working on some exciting new technologies that we can finally talk about in public. As many of you know, our original product, the Urika graph analytics appliance (now renamed Urika-GD®), gave us a great opportunity to introduce a unique technology to the enterprise analytics market. Not only did Urika-GD start solving some fairly intractable problems where commodity machines faltered, but it also gave us the opportunity to better understand some of the use cases that were beginning to emerge – how our clients and users actually deployed some of the big data analytic solutions, the workflow from start to finish as well as the other systems that were … [Read more...]

Why Chapel? (Part 3)

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This article wraps up the series started in my previous two blog articles (here and here) with the goal of explaining why we are pursuing the development of the Chapel parallel programming language at Cray Inc. In those articles, I advocated for the pursuit of productive new languages like Chapel. In this article, I’ll cover reasons for developing a new language rather than extending an existing one. Why create a new language? Why not extend C, C++, Fortran, … ? People who ask this question are typically referring to one or more of the following perceived benefits. By extending a language you don’t have to reinvent the wheel and can build on what’s come before.  While this is true, conventional languages also tend to carry … [Read more...]