The U.S. Department of Energy's (DoE) SLAC National Accelerator Laboratory will participate in recently funded projects designed to develop applications for exascale supercomputers that can handle the massive datasets produced by x-ray lasers.
SLAC's Linac Coherent Light Source (LCLS) x-ray laser can capture images of atoms and molecules in motion and generates enormous amounts of data expected to exceed 1 trillion data bits per second with the next-generation LCLS-II laser.
To accommodate these processing needs, LCLS will send its data to the National Energy Research Scientific Computing Center, where supercomputers will analyze the information.
Funding from the DoE's Exascale Computing Project will enable the installation of new infrastructure capable of supporting the amount of data to be generated by LCLS-II.
Meanwhile, Lawrence Berkeley National Laboratory researchers are working on developing algorithms for specific use cases. The first set of algorithms consists of analysis programs that will be reconfigured for exascale computer architectures, and the second set includes software for technologies such as single-particle imaging.
"Exascale computing will create the capabilities to handle unprecedented data volumes and, at the same time, will allow us to solve new, more complex simulation problems,' says SLAC Computer Science Division director Alex Aiken.
From Inside HPC
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