In this video, technicians install the first phase of a new Cray XC supercomputer at the U.K. Met Office. “Consisting of three phases spanning multiple years, the $128 million contract expands Cray’s significant presence in the global weather and climate community, and is the largest supercomputer contract ever for Cray outside of the United States.
In this video from the SF Big Analytics Meetup, Bryan Catanzaro from Baidu presents: Why is HPC so important to AI? “We built Deep Speech because we saw the opportunity to re-conceive speech recognition in light of the new capabilities afforded by Deep Learning, to take advantage of even larger datasets to solve even harder problems.”
“For more than 40 years now, we have enjoyed a proud and storied history with Chippewa Falls, and the opening of our new manufacturing facility affirms our commitment to building our supercomputers in a town that is synonymous with Cray,” said Peter Ungaro, president and CEO of Cray. “Maintaining direct control of our manufacturing process ensures our systems are built with the highest level of quality that customers expect in a Cray product. “
In this video from the Barcelona Supercomputer Center, Big Data is presented as a key challenge for researchers studying global climate change. “Changes in the composition of the atmosphere can affect the habitability of the planet by modifying the air quality and altering long-term climate. Research in this area is devoted to the development, implementation and refinement of global and regional state-of-the-art models for short-term air quality forecasting and long-term climate predictions.”
In this video from the 2015 OLCF User Meeting, Buddy Bland from Oak Ridge presents: Present and Future Leadership Computers at OLCF. “As the home of Titan, the fastest supercomputer in the USA, OLCF has an exciting future ahead with the 2017 deployment of the Summit supercomputer. Summit will deliver more than five times the computational performance of Titan’s 18,688 nodes, using only approximately 3,400 nodes when it arrives in 2017.”
In what has to be one of the most beautiful simulations I’ve ever seen, this video from the European Space Agency shows simulated interaction of solar winds with 67P/Churyumov-Gerasimenko, the famous comet targeted the Rosetta mission. “The simulated conditions represent those expected at 1.3 AU from the Sun, close to perihelion, where the comet is strongly active.”
“Sea level rise is one of the most visible signatures of our changing climate, and rising seas have profound impacts on our nation, our economy and all of humanity,” said Michael Freilich, director of NASA’s Earth Science Division. “By combining space-borne direct measurements of sea level with a host of other measurements from satellites and sensors in the oceans themselves, NASA scientists are not only tracking changes in ocean heights but are also determining the reasons for those changes.”
Today Intel Corporation and BlueData announced a broad strategic technology and business collaboration, as well as an additional equity investment in BlueData from Intel Capital. BlueData is a Silicon Valley startup that makes it easier for companies to install Big Data infrastructure, such as Apache Hadoop and Spark, in their own data centers or in the cloud.
“Supercomputing should be available for everyone who wants it. With that mission in mind, a team of engineers created Parallella, an 18-core supercomputer that’s a little bigger than a credit card. Parallella is open source hardware; the circuit diagrams are on GitHub and the machine runs Linux. Icing on the cake: Parallella is the most energy efficient computer on the planet, and you can buy one for a hundred bucks. Why does parallel computing matter? How can developers use parallel computing to deliver better results for clients? Let’s explore these questions together.”
“CDSW’s organizers are professional programmers and data scientists and several of us have experience teaching data science in more traditional university and corporate settings. Our talk will describe how “democratized” data science is similar to — and sometimes extremely different from — these more traditional approaches. We will talk about some of the challenges we have faced and highlight some of our most inspirational successes.”