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RESEARCH COMPUTING INITIATIVE

The Euclid Cluster, managed by Prof. Manos Mavrikakis’s research group, strengthens the University of Wisconsin's research computing infrastructure to meet evolving needs. With 2,184 compute cores, 273 servers, and 20 Teraflops peak capacity, the cluster supports advanced computational chemistry, focusing on chemical processing, alternative energy, and pollution prevention. It facilitates high-throughput computing with low latency and high bandwidth, enabling projects that were previously impractical. Collaborating with various departments, it promotes the use of open-source technologies, benefiting the broader UW research community.

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RESEARCH COMPUTING INITIATIVE

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  1. RESEARCH COMPUTING INITIATIVE Hideko Mills, Manager of IT Research Infrastructure www.cio.wisc.edu/research hjmills@cio.wisc.edu

  2. Mission To strengthen the campus research computing infrastructure to meet current and future needs.

  3. Current Project • The Euclid Cluster - Prof. Manos Mavrikakis’ research group • Computational chemistry approaches to improve engineering practices in: • Chemical processing • Alternative energy • Pollution prevention • Key Parameters: 2184 compute-cores 273 compute-servers 13 Terabytes Storage 20 Teraflops peak compute capacity 10 GigE Interconnect Intel Nehalem CPU

  4. The Euclid Cluster • What can be done now that wasn’t available before? • Efficient scaling of jobs due to a low latency network • Total compute power of 20 Teraflops (more than anything before on campus) • Move large datasets and files at up to 10 Gbps of bandwidth (10 times more bandwidth than any existing interconnect)

  5. The Euclid Cluster • What specifically will it enable? • Tackle projects that are compute-intensive and outside the capabilities of existing UW infrastructure • Showcase state-of-the-art open source software and technologies to benefit the UW research community

  6. The Euclid Cluster • How will it help colleagues? • Available to the broader UW community for specialized computing applications • Center High Throughput Computing (CHTC), led by Prof. Miron Livny (Computer Science), will provide access to the cluster under the aegis of the Condor project • Key Scientific Codes to run on Euclid • VASP (cms.mpi.univie.ac.at/vasp/) • DACAPO (dcwww.camd.dtu.dk/campos/Dacapo/) • GPAW (https://wiki.fysik.dtu.dk/gpaw/)

  7. Campus Collaboration • Funding • Department of Chemical Engineering, College of Engineering, Center High Throughput Computing (CHTC), WARF, and the Division of Information Technology • Almost entirely open-source: no purchases • Multi-vendor investment • Dell, Cisco, Chelsio, APC

  8. Questions?

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