Today Los Alamos, Lawrence Berkeley, and Sandia national laboratories announced the Alliance for Application Performance at Extreme Scale (APEX). The new collaboration will focus on the design, acquisition and deployment of future advanced technology high performance computing systems.
“Successful startups are the ones who have knowledge and a strong focus on a problem to solve. Knowledge comes from experience and there is no better way to accumulate that than working at one of the HPC facilities in the US or abroad. In fact I participated in this directly, moving to the US to work at a DOE lab. These opportunities still exist but the Labs often find it difficult to compete with Facebook and Google. If you are able to attend SC15 in Austin, you absolutely must visit the booths on the show floor and engage with the staff and seek out opportunities that exist. Again, SC is where the industry meets research and amazing things happen: go make it happen for you!”
Over at NERSC, Linda Vu writes that the SciDB open source database system is a powerful tool for helping scientists wrangle Big Data. “SciDB is an open source database system designed to store and analyze extremely large array-structured data—like pictures from light sources and telescopes, time-series data collected from sensors, spectral data produced by spectrometers and spectrographs, and graph-like structures that illustrate relationships between entities.”
“SUPER builds on past successes and now includes research into performance auto-tuning, energy efficiency, resilience, multi-objective optimization, and end-to-end tool integration. Leading the project dovetails neatly with Oliker’s research interests, which include optimization of scientific methods on emerging multi-core systems, ultra-efficient designs of domain-optimized computational platforms and performance evaluation of extreme-scale applications on leading supercomputers.”
Today Sandia National Laboratories announced that researcher Mark Taylor has received the U.S. Department of Energy (DOE) 2014 Secretary’s Honor Award — the department’s highest non-monetary employee recognition — for his work as chief computational scientist for DOE’s Accelerated Climate Modeling for Energy (ACME) executive council team.