Deep Learning at Scale

Cray is synonymous with large-scale computing. While this is by no means all we do, the research that leverages these large systems is interesting to examine as leading indicators of things to come in the broader community. This has been true for a long time in modeling and simulation, and we’re now beginning to see the same advances in the area of deep learning. For example, the Cray® XC™ “Cori” supercomputer at the National Energy Research Scientific Computing Center (NERSC) is an amazing system, sitting at #8 on the most recent Top500 list of the world’s fastest supercomputers. Of course, it’s the organization that surrounds Cori that enables the use of such technology. To this end and to help further the use of Cori for ... [ Read More ]

SeisSpace and Parallel File Systems: What are You Using?

Here’s a few questions for all you SeisSpace® doodlebuggers out there. What parallel file system are you using for your secondary storage requirements? Have you ever thought about using a different file system? Have you ever wondered if you could combine both your primary and secondary storage requirements on the same parallel file system — and if you did, what would happen? Well, stop wondering. Over the last several months, Cray invested the expertise of its oil & gas performance engineering team in testing those questions, along with a few others that you may be interested in. Cray’s team, along with Dan Grygier, CTO of Taming Traces Consulting, used Cray’s CS400™ cluster supercomputer (which we qualified for SeisSpace last ... [ Read More ]

Australian CIO Honored for Deployment of Cray System

Putting a 1.6 PF supercomputer into production on time and on budget with no interruptions to one of the world’s top meteorological agencies: amazing. And it brought well-earned kudos to Dr. Lesley Seebeck, the chief information officer for Australia’s Bureau of Meteorology (BOM), who was named the 2017 Australian CIO of the year for the federal government sector. iTnews, a publisher of IT-related news and research, presented the award to Dr. Seebeck at its annual awards event in February. According to iTnews, “Seebeck's team correctly predicted several years ago that the agency's high performance computing system would no longer be up to the task of processing BoM's complex climate modelling by 2016. The switch to a new Cray XC40 ... [ Read More ]

Top 5 Blog Posts From 2015

Happy New Year! Check out some of the top blog posts from 2015: Why Do Better Forecasts Matter? Meteorologists have been striving to increase the accuracy of their work since the first weather forecasts were issued in the mid-19th century by pioneers such as Robert FitzRoy. In the 1950s and 1960s, the development of computers and observational technologies enabled forecast generation using the numerical weather prediction theories of Vilhelm Bjerknes and Lewis Fry Richardson. Today the numerical models that support our weather and climate forecasts are true “grand challenge” problems, requiring on the order of 10,000 billion (1016) mathematical operations and the exchange of 150 billion (1.5 x 1014) bytes of information to generate a ... [ Read More ]

Why Do Better Weather Forecasts Matter?

Cray, NVIDIA, the Swiss National Supercomputing Centre (CSCS) and MeteoSwiss recently announced the acceptance of MeteoSwiss’ new supercomputing platform for operational weather forecasting, a Cray CS-Storm GPU supercomputer system with NVIDIA® Tesla® K80 GPUs. It is the world’s first operational weather forecasting system using GPGPUs as the primary computational engine, and it represents a successful return on years of effort by MeteoSwiss, C2SM/ETH and CSCS in porting the COSMO weather model to GPUs. This system is the latest in a long series of investments in Cray supercomputers by weather forecasting and climate research organizations, which over the past two years have included the United Kingdom’s Met Office; Danish Meteorological ... [ Read More ]