Valerio and Kree Receive IEEE Visualization 15 Year Test of Time Award
Congratulations to Valerio Pascucci and Kree Cole-McLaughlin on receiving the IEEE Visualization 15 Year Test of Time Award for their paper "Efficient computation of the topology of level sets."Using topological approaches to analyze level sets from scalar field has been an important branch of methods in the SciVis community. While the theories of contour trees had been known prior to this paper, efficient and robust computation of contour trees and other topological features from a discrete data set has been a challenge. In this paper, the authors provided a detailed account of the implementation of contour tree computation. The improved efficiency and the enhanced feature namely the Betti number makes the topological approach more practical and accessible to the scientific community. Considering the citation counts, the importance of the work, and the potential impact to the application areas, the SciVis Test of Time award committee selected this paper as the 2002 SciVis Test of Time award winner.
2017 NERSC Award for Innovative Use of HPC
https://www.nersc.gov/news-publications/nersc-news/nersc-center-news/2017/nersc/
Nothing is Certain
"The only certainty...," it is said, "is that nothing is certain."
And so it goes with computational forecasts of important events such as weather, finance, and climate. Among all of this uncertainty, however, there are patterns, likelihoods, and rarities that inform important decisions that may affect billions of dollars in resources and thousands, or even millions, of lives. In the hurricane season on the eastern U.S., computational forecasting plays a central role in critical decisions that can determine allocations of emergency resources and the movements of people. The uncertainty and accuracy of these forecasts is an important part in making effective use of these sophisticated tools.
Driving Visualization at the SH/EAHP Workshop 2017
ViSOAR is set to drive the visualization for the 2017 Workshop on Molecular Genetics of Hematopoietic Neoplasms, September 7-9, in Chicago, IL.The Scientific Computing and Imaging (SCI) Institute and the Center for Extreme Data Management, Analysis, and Visualization (CEDMAV), in collaboration with ARUP Laboratories and the University of Utah, Department of Neurobiology and Anatomy, have developed ViSOAR--a multi platform visualization application for accessing and processing very large imaging data.
Need for Speed
Whether it’s coming up with the best design for a Formula 1 race car or understanding the effects of atrial fibrillation on the heart, developing the right simulation model for research sometimes involves equal parts applied math, engineering and computer science.University of Utah School of Computing professor Mike Kirby sees himself as the person who connects these disciplines so he can take trailblazing ideas and help create better simulation software to aid researchers.
SCI Acquires Nvidia DGX-1
The SCI Institute, in partner with the School of Computing, is excited to announce the acquisition of an Nvidia DGX-1 deep learning system. This will be a shared resource that will be made available freely to all campus researchers interested in deep learning, machine learning and related areas.Big data and machine learning are major factors shaping research and innovation now and will continue to be so in the foreseeable future. Deep learning represents the state-of-the-art in machine learning and data analysis.
A Calming Effect
For many who suffer from debilitating neurological disorders such as Parkinson’s Disease, the constant muscular tremors are an unbearable symptom. Just drinking from a cup can be an overwhelming challenge.When medication doesn’t work, brain surgery to destroy certain cells can be risky, and the results are irreversible. But there has been an emerging third option — deep brain stimulation (DBS), a therapy in which electrodes are implanted in the patient’s brain that deliver continuous electrical pulses to control motor function.
University of Utah bioengineering associate professor Christopher Butson has been researching ways to improve DBS systems to make them more effective and convenient for patients who wear them. He believes an answer lies in mobile tablets and smartphones.
Miriah Meyer Interviewed at Women in Data Science 2017
Miriah Meyer, Assistant Professor of Computer Science at University of Utah, sits down with host Lisa Martin at Women in Data Science 2017, at Stanford University in Palo Alto, California.
Gigapixel image analysis on the fly
Most farmers probably never thought they'd be in the market for a way to process huge digital images more quickly -- until, that is, inexpensive drones with high-resolution cameras gave them access to images they could use to micromanage irrigation and to detect the growth of crop-threatening diseases.
2016 Image-Based Biomedical Modeling (IBBM) summer course
The Image-Based Biomedical Modeling (IBBM) summer course was held for the third time in 2016, from July 11-21, 2016 in Newpark Resort, Park City (Utah). The two-week course format included the following activities:- Didactic lecture sessions given by the three PIs (Rob MacLeod, Ross Whitaker and Jeff Weiss) as well as three invited instructors (Miriah Meyer, Steve Maas and Gerard Ateshian) experts in their fields
- Laboratory exercises lead by a group of teaching assistants and developers,
- Discussion session time for student-instructor interaction,
- Visit to the experimental and computational laboratory facilities at the University of Utah, College of Engineering to give the participants an overview of the general academic background and research projects performed at the university,
- Four Keynotes Lectures from leaders in the field,
- Mentoring lectures on grant writing, responsible conduct of research, and simulation study design.