OSU High Performance Computing Center
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The High Performance Computing Center (HPCC) provides supercomputing services and computational science expertise that enables faculty, staff, and students to conduct a wide range of focused research, development, and test activities. The HPCC places advanced technology in the hands of the academic population more quickly, less expensively, and with greater certainty of success.
The main objective of the HPCC is to facilitate research and aid in educational advancement by integrating state-of-the-art high performance computing technology for multidisciplinary units across the OSU campus and throughout Oklahoma. The HPCC offers services for a variety of computing cluster hardware and provides consulting services to assist researchers with their experimental software and hardware needs. The HPCC will serve as a liaison between various groups and areas that are engaged in research.
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Item Open Access OSU High Performance Computing Center Newsletter (Fall 2015)(2015) Brunson, DanaNEW RESEARCH CLOUD Driven by Oklahoma’s NSF EPSCoR RII Track 1 award, “Adapting Socio-ecological Systems to Increased Climate Variability,” OSUHPCC has deployed the OSU Research Cloud which allows research teams to utilize virtual servers without having to acquire, deploy and manage physical resources themselves. This resource helps researchers meet computing needs beyond what their desktop computer can handle that are not conducive to the typical batch processing of the HPC system. It facilitates sharing and analyzing large datasets, databases and interactive and graphical computing. To find out more write to hpcc@okstate.edu BIOINFORMATICS EXPERT JOINS OSU SUPERCOMPUTER CENTER The OSU High Performance Computing Center has hired a bioinformatics specialist to assist faculty, staff and students across all campus disciplines with research using the university’s supercomputer cluster called Cowboy. Brian Couger will complete his Ph.D. in the OSU Department of Molecular Biology and Molecular Genetics in December. Couger (mcouger@okstate.edu) supports and collaborates with the analysis of large bioinformatics data, provides consultation on sequencing and bioinformatics project design, assists with synthesis of bioinformatics related sections of publications and facilitates the use of local and national high performance computing resources. Brian is located in 104 Math Sciences alongside the rest of the HPCC team (offices 105 – 107). CONGRATS! NEW MRI PROPOSAL AWARD We’re delighted to report that our NSF MRI proposal, “Acquisition of Shared High Performance Compute Cluster for Multidisciplinary Computational and Data- Intensive Research” has been awarded at $951,570! See the award page here: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1531128. This grant will allow us to meet the ever growing demand for computational and data-intensive research and education at OSU and across Oklahoma.Item Open Access OSU High Performance Computing Center Newsletter (Spring 2015)(2015) Brunson, DanaACKNOWLEDGING THE HIGH PERFORMANCE COMPUTING CENTER The High Performance Computing Center exists to facilitate research, development and test activities. Our best measurement of continued needs and benefits remains publications, dissertations and grants facilitated by the users of our resources. Please remember to always acknowledge use of OSU’s High Performance Computing center resources and/or personnel in publications. For a quick reference guide for acknowledging please visit the Acknowledging page on our website. Don’t forget to email dana.brunson@okstate.edu to inclusion in our publication listings. For a list of all the extensive list of facilitated publications the HPCC has helped contribute to in the past visit the Scholarly Publications page on our website. COMPUTATIONAL CHEMISTRY – BY CHRISTOPHER FENNELL Hired to the faculty in the OSU Chemistry Department in 2013, Dr. Fennell specializes in molecular simulation of condensed phase systems. His research involves characterizing the driving forces for molecular transfer, association, and solvation. Uncovering the whys behind the collective behavior of molecules in complex systems provides critical knowledge and power for rational design of targeted therapeutics, materials with specific physical properties, and self-organizing and assembling systems. Tackling problems in complex molecular systems requires extensive sampling of system states. Fortunately, molecular mechanics simulations lend themselves quite well to parallel computing environments. As part of Dr. Fennell coming to OSU, he purchased a subsystem of compute nodes that were recently integrated into the Cowboy Cluster. In addition to 24 CPU cores, these nodes each contain four Intel Xeon Phi cards. Each Phi card contains 228 simultaneous multithreading pipelines, and this hardware provides new capabilities that are not available on standard Cowboy compute nodes. When used fully, these Phi nodes can give upwards of a 1000-fold improvement in performance over a single core calculation. OSU HPCC supports researchers that want to take advantage of this newly available compute hardware.Item Open Access OSU High Performance Computing Center Newsletter (Summer 2015)(2015) Brunson, DanaHPCC GRANT AND PUBLICATION WRITING Writing a grant? We can help! We have boilerplates for facilities and service sections that can help take the stress off of you. Please contact us if you require assistance, and we can provide documentation to support your efforts. The High Performance Computing Center exists to facilitate research, development and test activities. Please remember to always acknowledge use of OSU’s High Performance Computing center resources and/or personnel in publications. For a quick reference guide for acknowledging please visit the Acknowledging page on our website. Don’t forget to email dana.brunson@okstate.edu for inclusion in our publication listings. COMPUTATIONAL OPTIMIZATION – BY BASKI BALASUNDARAM Dr. Balasundaram is an Associate Professor (http://baski.okstate.edu/) in the School of Industrial Engineering & Management (IEM) who specializes in computational optimization, specifically with network models and graph theoretic approaches. His basic research focuses on the development of theory and algorithms to solve combinatorial optimization problems that are motivated by graph-based data mining, social network analysis, computational biology, and other fields. The problems he studies range from seeking specific patterns or substructures in networks to designing networks to have optimal structural properties like robustness and reachability. Even when the structural properties or patterns are simple to describe, the resulting optimization problems are often computationally intractable requiring an intelligent use of decomposition techniques in algorithm design, and the power of high performance parallel computing to solve. Dr. Balasundaram and several other faculty from IEM that work broadly in the field of Operations Research, with help from OSU HPCC acquired cluster “Cimarron.” This large- memory cluster consists 10 compute nodes with dual quad core Intel E5620 processors, 6 of which have 96 GB RAM and 4 have 144 GB RAM. The cluster also hosts high-performance optimization packages like CPLEX and Gurobi. Since his research often employs worst-case exponential algorithms, such high-memory nodes and parallel computing are particularly advantageous to his group’s research, enabling optimal resolution on massive power-law networks with several million nodes that were previously unsolved.Item Metadata only OSU HPCC Facilitated Scholarly PublicationsScholarly publications facilitated by Oklahoma State University's High Performance Computing Center (HPCC)