Data-Intensive Computing to Simulate the Brain
Understanding how the human brain works will take more than brains. Along with the planet’s smartest scientific minds, it will take never-before-achieved computing capabilities. The science and...
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AI Meets HPC at ISC 2017
Running astrophysics applications with 200,000 MPI tasks … diagnosing and treating autism spectrum disorders … researching the secure nature of the Advanced Encryption Standard algorithm. Those are...
View ArticleBio-IT World 2017: Life Sciences Embrace Cloud
Hope you had a chance to attend the 16th annual, three-day Boston Bio-IT World Conference & Expo this year. Competitions included: Best Practices awards announcements and the Benjamin Franklin...
View ArticleCray’s New Urika-XC Suite: the Convergence of Supercomputing and Analytics
Cray today announced the launch of the Cray® Urika®-XC analytics software suite, which brings graph analytics, deep learning and robust big data analytics tools to the company’s flagship line of Cray®...
View ArticleData Analytics Rule at Spark Summit West 2017
Spark Summit West is always well attended, and this year was no exception. Data engineers, data scientists, programmers, architects and technology enthusiasts descended on San Francisco’s Moscone...
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Hail Powers Precision Medicine on the Urika-GX Platform
Hail is an open-source platform for analyzing variants in genomic data on top of Apache Spark™. It takes advantage of three key elements of Spark’s design: Scalability. Datasets are multi-terabyte and...
View ArticleCray CEO Discusses New Supercomputing as a Service
Cray’s president and chief executive officer, Peter Ungaro, offers insights into the company’s new supercomputing-as-a-service offering, in partnership with Markley. The first industry offering is the...
View ArticleMarkley and Cray Offer Supercomputing as a Service
Global supercomputer leader Cray Inc. and Markley, a premier provider of datacenter space and cloud computing services, today announced a partnership to provide supercomputing-as-a-service solutions...
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Cray Analytics and Alluxio – Wrangling Enterprise Storage
For business to not just survive — but to flourish — it’s become imperative to make decisions with near immediacy, continuously pivot strategy and tactics, and merge streams of inquiries into...
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Cray CEO to Speak on the Convergence of Big Data and Supercomputing at...
Cray president and CEO Peter Ungaro will give a presentation on “The Convergence of Big Data and Supercomputing” at TechIgnite, an IEEE Computer Society conference exploring the trends, threats and...
View ArticleBig Data Analytics: How Much Will it Cost?
If you’re concerned about how long will it take before you see ROI from an investment in big data analytics technology, you’re not alone. According to research by Enterprise Strategy Group (ESG), 77...
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ExxonMobil Sets Record with Cray Supercomputer
ExxonMobil, working with the National Center for Supercomputing Applications (NCSA), has achieved a major breakthrough with proprietary software using more than four times the previous number of...
View Article2017 Spark Summit East Reveals Progress but Not Disruption
This was a conference to marvel at — and not just for the lineup. How many gigs start with a New England Patriots Super Bowl victory parade and end with a quasi-blizzard? Boston’s “ambiance” aside,...
View ArticleCray “Blue Waters” Supercomputer Tackles Gerrymandering
Redistricting — the process by which congressional and state legislative district boundaries are drawn — sounds like an unremarkable government chore. And, in theory, it should be. But, too often, it...
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“LEBM”: Cray Creating New Extension to LUBM Benchmark
I’ve written a few posts about the Cray Graph Engine (CGE), a robust, scalable graph database solution. CGE is a graph database that uses Resource Description Framework (RDF) triples to represent the...
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50 Billion Triples: Digging a Bit Deeper
In the last two installments of this series (part 1 and part 2), we discussed some higher-level thoughts on striking a balance between easy ingest and more prep work as well as some initial queries to...
View ArticleHow CGE Achieves High Performance and Scalability
In our graph series so far, we have explored what graph databases are and when they are valuable to use, as well as the Cray Graph Engine (“CGE”), a robust graph solution. For this last installment, we...
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Making Sense of 50 Billion Triples: Getting Started
In my last post I outlined some of the reasons why the promise of graph analytics takes thought and planning to really capitalize on its potential. Now, I’d like to focus on getting started,...
View ArticleBig Data Advantage, part 3: “The Dude Abides.”
In my prior two posts about analytics, I highlighted the vast opportunity available in big data and the obstacles that prevent organizations from attaining tangible benefits: Complexity across fronts...
View ArticleMaking Sense of 50 Billion Triples: No Free Lunch
A lot of grandiose claims have been made promising that graph databases would allow easy ingest of all manner of disparate data and make sense of it – and uncover hidden relationships and meaning....
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