Cray

Meet Your New Analytics Platform: Urika-GX

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 meaningful action. Executing requires high-frequency insights — the competitive advantage in today's frenetic business landscape. The Urika®-GX platform delivers on this need for high-frequency insights through a potent combination of system agility and pervasive speed.

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Student Asks for Cray's Help with Zombie Apocalypse Math
Cray recently received a letter from a high-school student with an interesting equation. His math teacher had posed a problem involving a zombie apocalypse, and Hugo, a 10th-grader in Norco, Calif., came up with a monster equation.

Y = 259,496,785,246,945,100,035.25 * (204,596,735,436,300,431,333,445 ^ 100,000,000,000,000,000,000,000,000,000,000,000,000, 000,000,000,000,000,000,000)

Because Hugo couldn't find a calculator that could solve the equation, he wrote a letter to Cray asking whether we could run it on a supercomputer. CTO Steve Scott recorded a video reply, and a Cray team visited Hugo at school, along with a guest from the National Energy Research Scientific Computing Center (NERSC).
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Titan propels GE beyond the limits of gas turbine testing

Simultaneously increasing the efficiency and reducing the emissions of natural gas-powered turbines is a delicate balancing act. It requires an intricate understanding of these massive energy-converting machines — their materials, aerodynamics, and heat transfer, as well as how effectively they combust, or burn, fuel. Of all these factors, combustion physics is perhaps the most complex. In the spring of 2015, GE turned to the OLCF for help. Through the OLCF's Accelerating Competitiveness through Computational Excellence (ACCEL) industrial partnerships program, Yan's team received a Director's Discretionary allocation on Titan, a Cray system capable of 27 petaflops, or 27 quadrillion calculations per second.
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Large-Scale Weather Prediction at the Edge of Moore's Law

Having access to fairly reliable 10-day forecasts is a luxury, but it comes with high computational costs for centers in the business of providing predictability. This ability to accurately predict weather patterns, dangerous and seasonal alike, has tremendous economic value and accordingly, significant investment goes into powering ever-more extended and on-target forecast. What is interesting on the computational front is that the future of weather prediction accuracy, timeliness, efficiency, and scalability seems to be riding a curve not so dissimilar to that of Moore's Law.
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Next Generation Supercomputing Strikes Data, Compute Balance

Although the future of exascale computing might be garnering the most deadlines in high performance computing, one of the most important stories unfolding in the supercomputing space, at least from a system design angle, is the merging of compute and data-intensive machines.
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Quick Links

Press Release: Independent Research Firm Names Cray a Strong Performer in Big Data Hadoop Optimized Systems

Video: Groundbreaking Visualizations of Solar Superstorms

Blog post: Behind the Name: Hazel Hen, Hornet and Hermit

Blog post: Behind the Name: "Beagle" and "Beagle-2"

Application brief: Cray® XC™ Supercomputer Accelerates LS-DYNA® Simulations for Aerospace

Interview: Q&A With Cray's Steve Scott, Keynote Speaker for NAFEMS Americas 2016

Solution brief: Future Grid: Accelerating Risk Analytics While Reducing TCO

White paper: Comparing the Urika-GX System with Public Cloud Implementations for Life Sciences

Join us: Learn Why Leading Manufacturers Trust Cray to Accelerate CAE


Events


DLR Storage Technology 2016
June 15-17, Rostock, Germany

STAC NYC
June 17, NYC

ISC 2016
June 19-23, Frankfurt, Germany

HPCS & Canheit 2016
Jun 19-22, Edmonton, Alberta

Festival of Genomics
June 17-June 29, Boston, MA

Click here to see the full list of events