We expect our solution to find rapid adoption among the supercomputing user base since it circumvents the well known problems associated with visualization of large data sets with minimal interruption of existing visualization environments. We expect other non-NASA groups such as NSF's Kraken and Ranger, and DOE's Jaguar, to embrace this technology.
Our tools will significantly impact large supercomputing systems such as NASA's Pleiades. Our approach build on existing NASA technology and installed visualization systems, including ParaView, and leverages work that our subcontractor SciberQuest has performed: kinetic simulations of the magnetosphere using 25K computational cores on Pleiades and 100K cores on Kraken. The major benefit of the work is that it will dramatically improve the IO bottleneck found in many supercomputing systems, including the Lustre file system used by Pleiades.
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