Research and Development
As well as providing production computing services NERSC also participates in research and development activities in order to ensure the high performance computing systems of the future continue to meet the needs of scientists.
NERSC assess available HPC system solutions using a combination of application benchmarks and microbenchmarks. By understanding the requirements of the NERSC workload we drive changes in computing architecture that will result in better HPC system architectures for scientific computing in future generation machines. Read More »
Running efficiently on future low-power, manycore system architectures will pose a major challenge to almost all scientific application codes. DOE supercomputer centers are working together now to plan and coordinate how they will help enable science teams take advantage of next-generation… Read More »
Dynamic Frequency Scaling One means to lower the energy required to compute is to reduce the power usage on a node. One way to accomplish this is by lowering the frequency at which the CPU operates. However, reducing the clock speed increases the time to solution, creating a potential tradeoff. NERSC continues to examine how such methods impact its operations and its workload. See a recent paper on this topic here. Read More »
Strategic Partnerships in Advanced Computing @ NERSC American innovation is strongly rooted in scientific discovery. Scientific computing is an increasingly key ingredient in that innovation. NERSC partners with researchers in both the public and private sectors to provide new capabilities in modeling, simulation and data analytics.NERSC has been serving scientific teams with scientific computing and data services for 40 years. We lead the field in reliable and advanced computing, serving over… Read More »
Alice Koniges (third from left) led the Computational Science and Engineering Petascale Initiative, which paired post-doctoral researchers with high-impact projects at NERSC. Post-docs pictured above are (from left) are Jihan Kim, Filipe Maia, Robert Preissl, Brian Austin, Wangyi (Bobby) Liu , Kirsten Fagnan and Praveen Narayanan. (Not pictured: Christos Kavouklis, Xuefei (Rebecca) Yuan) The Computational Science and Engineering Petascale Initiative at LBNL, which ran from 2009-2013,… Read More »