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Home > News and Events
News and Events:
Dr. Johnson Gives Frontiers of Science Lecture
Dr. Chris Johnson presented a lecture entitled “Computing the Future of Biomedicine” as part of the University of Utah College of Science's Frontiers of Science Lecture series on March 10. In it he discussed the direction of research in Scientific Computing for medicine and some of the great research going on at SCI. The lecture was held at the Aline Wilmot Skaggs Biology Building. [MAP]
Abstract:
Computers have changed the way we live, work, and even recreate. Now, they are transforming how we think about and treat human disease. In particular, advanced techniques in biomedical computing, imaging,and visualization are changing the face of biology and medicine in both research and clinical practice. The goals of biomedical computing, imaging and visualization are multifaceted. While some images and visualizations facilitate diagnosis, others help physicians plan surgery. Biomedical simulations can help to acquire a better understanding of human physiology. Still other biomedical computing and visualization techniques are used for medical training. Within biomedical research, computers are fueling an explosion of technologies that allow us to "see" into and understand our bodies with unprecedented depth and detail. As a result of these advances and research occurring at the University of Utah, biomedical computing and visualization will help produce exciting new biomedical scientific discoveries and clinical treatments. In this talk, Dr. Chris Johnson will discuss the state of the art in biomedical computing, medical imaging, and visualization research and present examples of their vital roles in cardiology, neuroscience, neurosurgery, and radiology.
SCI Professor Wins Free Paracel Cyclone Cluster
The SCI Institute is pleased to announce that Professor Mike Kirby, faculty member in both the School of Computing and SCI Institute at the University of Utah, is the winner of two AMD Opteron cluster nodes provided by Paracel, Inc*. Paracel, a leading provider of applied high-performance computing systems, offered this two-node Paracel Cyclone* Linux cluster as part of a contest on LinuxHPC.org. Professor Kirby's current research interests are in the development and implementation of computational algorithms for solving problems in computational fluid dynamics, solid mechanics and electromagnetics.
Professor Kirby's work in these areas will be propelled forward by Paracel's Cyclone Linux cluster crafted for his computational needs. The system provided will consist of a two-node Cyclone cluster utilizing AMD Opteron processors and preconfigured with Linux Rocks 3.1 operating system.
"I am excited about the opportunity to move my simulations to Opteron's 64 bit architecture in an effort to obtain top simulation performance" says Prof. Kirby. With the new Cyclone cluster and collaboration with Paracel to obtain optimized library and code compilations, Prof Kirby expects that it will not be long before he has saturated all available cycles on his new cluster.
"A Linux cluster is perfect for running computationally demanding applications due to the high performance and reliability it provides," said Jenifer Audette, product manager at Paracel, Inc. "We are pleased that we have been able to contribute to the work of Prof. Kirby's department through our Paracel Cyclone contest."
SCI Annouces Certificate Program for Computational Bioimaging
The SCI Institute announces a new graduate level certificate program for Computational Bioimaging. The creation of this multidisciplinary program, involving four academic departments, was funded by the Program for Computational Functional Imaging and Visualization through the NIH/NLBI Biomedical Information Science and Technology Initiative (BISTI). The certificate is considered similar to a Graduate Minor at other universities. Graduate students in the program take classes and fulfill the degree requirements from their home department, as well as take classes in basic physiology, cell biology, radiology, computational science, and image/signal processing. Beginning at an introductory level appropriate for this program, the courses will culminate in a project course where students work in interdisciplinary teams on projects that better reflect the true nature of research problems in computational imagining. Upon completion, each student will receive the certificate in Computational Bioimaging as well as the MS or Ph.D. degree from their home department.
For more details on the Computational Bioimaging certificate program, please consult the NIH/BISIT Program of Excellence for Computational Bioimaging and Visualization web site.
