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.”
Early Bird registration rates are now available for ISC Cloud & Big Data Conference, which takes place Sept. 28-30 in Frankfurt, Germany. This year the event will kick off with one full day of workshops. The new program will highlight performance demanding cloud and big data applications and technologies and will consist of three tracks: Business, Technology and Research.
“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.”
“Within the next 12 months, China expects to be operating not one but two 100 Petaflop computers, each containing (different) Chinese-made processors, and both coming on stream about a year before the United States’ 100 Petaflop machines being developed under the Coral initiative. Ironically, the CPU for one machine appears very similar to a technology abandoned by the USA in 2007, and the US Government, through its export embargo, has encouraged China to develop its own accelerator for the other machine.”
Today Intel released Intel Parallel Studio XE 2016, the next iteration of its developer toolkit for HPC and technical computing applications. This release introduces the Intel Data Analytics Acceleration Library, a library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms.
“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.”