The “Tiny Titan” parallel computer has become interactive display at the American Museum of Science and Energy at Oak Ridge. Constructed last year at ORNL, Tiny Titan is a nine-node scale-model of Titan designed to make it easier for students to understand how a supercomputer works.
“Early in February, Barcelona Supercomputing Center (BSC) successfully deployed the Mont-Blanc prototype. After three years of intensive research effort, the team installed a two-rack prototype which is now available to the Mont-Blanc consortium partners. This has been a formidable challenge as this is the first time that a large HPC system based on mobile embedded technology has been deployed and made fully operational to a scientific community composed of scientists of six of the most important research centers in Europe.”
ISC 2015 will host a number of sessions on Exascale computing next month in Frankfurt. In what looks to be one of the highlights of the conference, Bill Gropp, Georg Hager, and Paul Kelly will discuss Programming Models on the Road to Exascale. To learn more, we caught up with the Session Chair, Dr Michèle Weiland, who serves as a Project Manager at the EPCC supercomputing center at the University of Edinburgh.
“The ability to accurately and efficiently study the absorption spectra of large chemical systems necessitates the development of new algorithms and the use of different architectures. We have developed a highly parallelizable algorithm in order to study excited state properties with ab initio electronic structure theory. This approach has recently been implemented to take advantage of graphical processing units to further improve efficiency.”
“In Deep Learning what we do is try to minimize the amount of hand engineering and get the neural nets to learn, more or less, everything. Instead of programing computers to do particular tasks, you program the computer to know how to learn. And then you can give it any old task, and the more data and the more computation you provide, the better it will get.”