At the University of Miami’s Center for Computational Science, more than 2,000 internal researchers and a dozen expert collaborators across academic and industry sectors worldwide are working together in workflow management, data management, data mining, decision support, visualization and cloud computing. CCS maintains one of the largest centralized academic cyberinfrastructures in the country, which fuels vital and critical discoveries.
New scientific analysis shows fingerprints of manmade climate change on 14 extreme weather events in 2014, hitting every continent but Antarctica. Dozens of scientists from the National Oceanic and Atmospheric Administration and across the world examined 28 strange weather conditions last year to see if global warming partly increased their likelihood or strength. In a 180-page report, they spotted effects of climate change in half...
This Sentinel-1A radar image was processed to depict water in blue and land in earthen colors. It features some of the Azore islands about 1600 kilometers west of Lisbon, including the turtle-shaped Faial, the dagger-like Sao Jorge and Pico Island, with Mount Pico reaching over 2351 meters in height. The image highlights the differences in the relief of the islands, with volcanoes and mountains clearly standing out.
Cycle Computing CTO Rob Futrick will be the keynote speaker at DataCloud 2015, the 6th International Workshop on Data Intensive Computing in the Clouds. In his talk, Futrick will pose the question, “Why would you NOT use public clouds for your big compute workloads?” His presentation will outline the shift toward the cloud for compute-intensive and data-intensive workloads that have historically been executed on in-house HPC environments.
Using Supercomputers and Machine Learning Algorithms, Nomadic Computing Speeds Up Big Data AnalyticsNovember 5, 2015 9:15 am | by NSF | News | Comments
How do Netflix or Facebook know which movies you might like or who you might want to be friends with? Here's a hint: It starts with a few trillion data points and involves some complicated math and a lot of smart computer programming. The ability to make sense of massive amounts of raw data — a process known as data analytics — is beginning to have a real impact in medicine, law enforcement and public services.
Modern technology has blurred the boundaries between place, time zone and people — between students learning details, and scientists leading discoveries. Case in point: A revolutionary virtual class brought together undergraduate and graduate students. With an innovative curriculum culminating in a research paper, the students and professors demonstrated that for education, collaboration and scientific discovery, there are no boundaries.
When Svetlana Alexievich won this year’s Nobel Prize for Literature, it was not unexpected. She was not only the clear favorite with the bookmakers but had traded as one of the leaders in the betting in the previous two years. While firms lay odds on the literature and peace prizes, there are no betting lines available for physics, chemistry and medicine. Instead, organized platform seeks to predict winners based on research citations.
Leo Kadanoff, an emeritus professor of physics at the University of Chicago, and trailblazer in modern statistical physics and theoretical condensed matter physics, died this week at the age of 78. His work on scale invariance and universality in phase transitions shaped the way physicists think about how matter changes from one state to another.
Nothing is more frustrating than watching that circle spinning in the center of your screen, while you wait for your computer to load a program or access the data you need. Now, researchers may have found the answer to faster computing: sound. The research has shown that certain types of sound waves can move data quickly, using minimal power. The key advantage of surface acoustic waves...
NASA is developing and demonstrating technologies to service and repair satellites in distant orbits. Robotic spacecraft — likely operated with joysticks by technicians on the ground — would carry out the hands-on maneuvers, not human beings using robotic and other specialized tools, as was the case for spacecraft like the low-Earth-orbiting Hubble Space Telescope. This photograph looks closely at one of the tools that could be used...
Argonne physicists are using Mira to perform simulations of Large Hadron Collider experiments with a leadership-class supercomputer for the first time, shedding light on a path forward for interpreting future LHC data. Researchers at the Argonne Leadership Computing Facility helped the team optimize their code for the supercomputer, which has enabled them to simulate billions of particle collisions faster than ever before.
Cornell University will lead a five-year, $5 million project sponsored by the National Science Foundation to build a federated cloud comprised of data infrastructure building blocks (DIBBs) designed to support scientists and engineers requiring flexible workflows and analysis tools for large-scale data sets, known as the Aristotle Cloud Federation.
You may have seen recent news items regarding the Human Brain Project, a 10-year European neuroscience research initiative. Interactive computer simulation of brain models is central to its success. Cray was recently awarded a contract for the third and final phase of an R&D program to deliver a pilot system on which interactive simulation and analysis techniques will be developed and tested.
For the first time, SC’s research and production network, SCinet, will be using the emerging technology — software defined networking (SDN) — to manage and simplify the operations for a portion of the SC conference’s show floor network. SCinet is the research and production network that serves as the backbone of data communications for the annual SC Conference.
Google is putting a different twist on the concept of "automated reply" with a new tool that aims to write artificially intelligent responses to your e-mail. The technology is part of an update to Google's Inbox app for managing and organizing e-mail. The feature, announced November 3, 2015, is the latest example of Google's effort to teach machines how to take over some of the tasks typically handled by humans.