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MSI is augmenting the capabilities of Itasca with an addition of 51 Intel SandyBridge nodes. The expansion includes 39 nodes with 16 cores per node, 64 GB of memory, and a 146 GB hard drive. There are also eight nodes with 128 GB of memory and 8 nodes with 256 GB of memory. The higher-memory nodes will also include larger local disk drives of 600 GB each. The larger memory and large local disk nodes target users with greater demands of per-core of node memory and also users who need large local scratch drives. All new nodes will use Itasca's Infiniband fabric and high-performance Lustre storage system.
Users wishing to take advantage of these nodes will need to have a current Service Unit (SU) allocation or obtain an SU allocation from MSI. Please see the MSI Allocations page for more information on requesting SU allocations.
posted September 5, 2012
Two MSI Principal Investigators in the Department of Plant Biology, Peter Tiffin and Nathan Springer, appear in a recent article on the College of Biological Sciences website. The article discusses Professors Springer and Tiffin’s collaborative genomics research into the domestication of maize.
Professor Springer uses MSI resources to study the role of epigenetics in contributing to phenotypic variation. (Epigenetics describes heritable variation that is not attributable to differences in DNA sequence.) His work appeared in MSI’s Annual Research Highlights 2011. Professor Tiffin uses MSI for genomics research of the model legume Medicago truncatula (barrel medic) to identify the genetic basis of ecologically and economically important traits.
MSI Principal Investigator Bin He (Biomedical Engineering and Director, Institute for Engineering in Medicine) is the senior author of a paper that appeared recently in Brain, a leading journal of neurology. The paper explains a new type of non-invasive brain scan that can help physicians diagnose and treat epilepsy. This study, which involved scans done immediately after a seizure instead of during it, is the first of its kind. The new scan, a form of EEG, uses over twice as many electrodes as most earlier types of scans.
Professor He uses MSI resources for computer simulations of the brain’s bioelectromagnetic field. To read a longer story about the recent paper, see the College of Science and Engineering website.
Research by MSI PI Jian-Ping Wang (Electrical and Computer Engineering) is highlighted on the OVPR Business blog. Professor Wang has developed a new biomedical sensor technique that uses magnetic nanoparticles and a sensor incorporating giant magnetoresistance. The Wang group uses MSI resources for their calculations related to research into magnetization.
MSI PI Steven Koester is highlighted in a recent OVPR Research blog article. Professor Koester is working on a new kind of glucose monitor that uses graphene. A video about this research appears at the bottom of the linked page.
Professor Koester and other University researchers will be participating in the upcoming Innovation Showcase: Software and Physical Sciences, hosted by the Office for Technology Commercialization. This free event will take place on Thursday, September 27 at the McNamara Alumni Center.