Cori: A Pre-Exascale Supercomputer for Big Data and HPC Applications
Nicholas J. Wright, Sudip S. Dosanjh, Allison K. Andrews, Katerina B. Antypas, Brent Draney, R. Shane Canon, Shreyas Cholia, Christopher S. Daley, Kirsten M. Fagnan, Richard A. Gerber, Lisa Gerhardt, Larry Pezzaglia, Prabhat, Karen H. Schafer, Jay Srinivasan
Extreme data science is becoming increasingly important at the U.S. Department of Energy's National Energy Research Scientific Computing Center (NERSC). Many petabytes of data are transferred from experimental facilities to NERSC each year. Applications of importance include high-energy physics, materials science, genomics and climate modeling, with an increasing emphasis on large-scale simulations and data analysis. In response to the emerging data-intensive workloads of its users, NERSC made a number of critical design choices to enhance the usability of its pre-exascale supercomputer, Cori, which is scheduled to be delivered in 2016. These data enhancements include a data partition, a layer of NVRAM for accelerating I/O, user defined images and a customizable gateway for accelerating connections to remote experimental facilities.
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