With the growth of big data, cloud and high performance computing, demands on data centers around the world are expanding every year. Unfortunately, these demands are coming up against significant opposition in the form of operating constraints, capital constraints, and sustainability goals. In this article, we look at 8 of these constraints and how direct-to-chip liquid cooling is solving them.
“The largest high-redshift cosmological simulation of galaxy formation ever has been recently completed by a group of astrophysicists (Drs. Feng, Di-Matteo, Croft, Bird, and Battaglia) from the U.S. and the U.K. This tour-de-force simulation was performed on the Blue Waters Cray XE/XK system at NCSA and employed 648,000 cores. They utilized approximately 700 billion particles (!) to represent dark matter and ordinary matter and to create virtual galaxies inside the supercomputer. The authors, who represent Carnegie Mellon University, UC Berkeley, Princeton University, and the University of Sussex, have given their simulation the moniker BlueTides.”
From bio-engineering and climate studies to big data and high frequency trading, HPC is playing an even greater role in today’s society. Without the power of HPC, the complex analysis and data driven decisions that are made as a result would be impossible. Because these super computers and HPC clusters are so powerful, they are expensive to cool, use massive amounts of energy, and can require a great deal of space.
The PDT team – a proprietary quantitative investment manager – is seeking a highly-talented senior HPC engineer. The Senior GRID Engineer will be a primary point of contact for the research teams using the GRID and will interface closely with the entire UNIX engineering group, senior software developers, vendors and the in-house monitoring team.
Ocean modelling is complex from an algorithm standpoint and can require significant amounts of computing power to arrive at a simulation endpoint. However, many of the calculations that are contained in the simulation can be distributed among a cluster of systems and used on shared memory systems as well.
AMD powers the L-CSC cluster at the GSI research facility which achieved the number one position for most energy efficient supercomputers on the latest Green500™ List. The L-CSC cluster is installed at the GSI Helmholtzzentrum für Schwerionenforschung GmbH research facility in Darmstadt, Germany, and is powered by AMD FirePro™ S9150 server GPUs.
The term next generation sequencing (NGS) is really a misnomer. NGS implies a single methodology, but the fact is that over the past 10 to 15 years there have been multiple generations and the end is nowhere in sight. Technological advances in the field are continuing to emerge at a record setting pace.