The University of Wisconsin-Madison's new computing resource, the Euclid cluster, can run at a peak performance of about 19 teraflops and offers almost 2,100 computer cores in 261 servers. Euclid can run large-scale computing projects and move datasets and files at up to 10 Gbits/second of bandwidth. The high-bandwidth, low-latency system tightly connects all 261 servers, which helps expand the capabilities of the whole Euclid system.
Euclid's primary user is professor Manos Mavrikakis, who is leading a research group in studying how the cluster's huge computing power can be used in catalysis and materials science. The research team uses computational chemistry strategies to improve engineering practices.
The University of Wisconsin's Center for High Throughput Computing will provide access to Euclid through Condor, a distributed-computing technology that allows other scientists to share computing resources.
From University of Wisconsin-Madison
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