Research High Performance Computing
UIT’s new IBM 40-node research cluster with 320 64-bit cores is a major upgrade in both technology and power over the previous cluster and is offered at no cost to members of the Tufts community. The new cluster features: a Red Hat Enterprise Linux 5, 16 to 32GB RAM per node, and high-speed Infiniband interconnected nodes. Tufts faculty and student adopters have found compute opportunities and efficiencies that have made the difference in solving their problems. Additional information about this resource and how to apply for an account can be found at http://go.tufts.edu/cluster.
BioInformatics Bioinformatics incorporates techniques from multiple disciplines to solve biological problems in areas that include applied mathematics, informatics, statistics, and computer science.To support bioinformatics applications and associated services at Tufts University, UIT put in production in the fall of 2008 a Bioinformatics Server that offers two services at no cost to clients: 1) a gene sequence analysis package Emboss/wEmboss (http://emboss.uit.tufts.edu); and 2) a micro-array analysis server (http://carmaweb.uit.tufts.edu). The micro-array analysis server was developed in collaboration with professor Iyer of the Tufts Center for Neuroscience Research (CNR). The server also supports open-source research codes.
Tufts Parallel Computing Users Group
Over the past 12 months, various groups at Tufts have started using parallel computing for their research on the research cluster and elsewhere.[EXPAND Click here to expand]To support this interest, a user group was recently created to develop and promote parallel computing at Tufts and an e-list set-up to support discussions about future possible seminars, vendor presentations, software acquisitions and general sharing of related parallel programming topics. UIT also recently purchased a new 32 core parallel license for Star-P, a parallel computing software (http://www.interactivesupercomputing.com), which allows Matlab users to parallelize their matlab codes at relatively low effort. This has given Matlab users a scaling option for their previously long running programs. If you are interested in joining the elist group please contact Lionel Zupan at Lionel.Zupan@tufts.edu.
Opportunities for Teaching and Student Computing
Teaching and Learning Technology
VUE 3 Beta Release
July 22, 2009, marks the release of the highly anticipated version 3.0 of the Visual Understanding Environment (VUE), the open source concept mapping tool developed at Tufts University with funding from the Andrew W. Mellon foundation.
VUE in the News
VUE was recently featured on the Online College Blog’s list, “100 Powerful Web Tools to Organize Your Thoughts and Ideas” (http://www.online-college-blog.com/index.php/uncategorized/100-powerful-web-tools-to-organize-your-thoughts-and-ideas/).
UIT Academic Technology is facilitating a Tufts University Learning Management System (LMS) project in partnership with Advisory and Core Teams comprised of representatives from Tufts Schools and Central Administration to understand how faculty, students, and staff are currently using the available platforms at Tufts (Blackboard, TUSK, ANGEL Learning, Moodle, Spark, etc.); to gather community requirements across Tufts contexts; to research and evaluate how next-generation platforms for teaching, learning, assessment, and collaboration might support Tufts goals; to recommend a comprehensive strategy for Tufts going forward. Please visit the project site to learn more: http://go.tufts.edu/lms.