By David Detweiler
Modern day research is increasingly dependent on high performance computing to provide faster, less expensive, and accurate research discoveries. Since 2010, the University of Cambridge HPC Solution Center has looked into the real-world challenges researchers face and provided viable solutions. In order to help the wider research community make the most of new discoveries, the university's HPC Solution Center is expanding its focus to data analytics and cloud platforms.
Recently, the University announced that researchers will now have access to larger HPC clusters based on Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors. These additions will help the Center accomplish its additional focus on large scale, data-centric HPC, data analytics and multi-tenanted cloud HPC provision. This will help the Center meet the growing demand for parallel processing application by a wide variety of university departments, including genomics and astronomy. Additionally, increasing numbers of businesses with large compute demands are turning to the Center for computational help.
The addition of Phi will also provide ease of use, and helps the Center to improve power efficiency, which is an important consideration for many of the University's workloads, especially those in astrophysics and genome processing.
The Center, which is in the process of moving to a new data environment, currently includes 600 Dell servers, with a total of 9,600 processing cores on Sandy Bridge–generation Xeon chips. A GPU environment consists of a 128 node, 256 card Nvidia K20 GPU cluster. It is believed to be the fastest in the United Kingdom.
We are honored to be a part of the University of Cambridge's HPC Solution Center, and look forward to the exciting discoveries this addition will help researchers make.
More information about this exciting collaboration is available at insideHPC.