Top researchers from six of the largest supercomputing centers got together in Barcelona at the beginning of this month for the Joint Laboratory for Extreme‐Scale Computing (JLESC) to discuss the challenges for future supercomputers.
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 strengths and the limitations of Europe’s supercomputing strategy were laid out at the PRACEDdays15 conference in Dublin at the end of May, with the minds of many delegates concentrated by the announcement in the USA over the course of the past few months of the $425 million ‘Coral’ procurement, intended to develop supercomputers that will leapfrog the international competition and open up the way to an Exascale machine.”
“Exascale computing will enable combustion simulations in parameter regimes relevant to next-generation combustors burning alternative fuels. The first principles direct numerical simulations (DNS) are needed to provide the underlying science base required to develop vastly more accurate predictive combustion models used ultimately to design fuel efficient, clean burning vehicles, planes, and power plants for electricity generation.”
In this slidecast, Pavel Shamis from ORNL and Gilad Shainer from Mellanox announce the UCX Unified Communication X Framework. “UCX is a collaboration between industry, laboratories, and academia to create an open-source production grade communication framework for data centric and HPC applications.”
PNNL researchers are using supercomputers to take on two of the main challenges of exascale: energy efficiency and resiliency. Their simulations show that dynamic voltage scaling, also known as undervolting, can reduce power consumption and leverage existing mainstream resilience techniques at scale for improving system failure rates.