Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

News

zengerCongratulations to Brian Zenger for receiving the Outstanding Dissertation Award for 2021 from the College of Engineering!

"Experimental Examination of Partial Occlusion Acute Myocardial Ischemia"

bha2021dCongratulations to Harsh Bhatia (LLNL/SCI Alumnus), Duong Hoang (SCI), Nathan Morrical (SCI), Peter Lindstrom (LLNl), Peer-Timo Bremer (LLNL/SCI), and Valerio Pascucci (SCI) for receiving the Best Paper Award at the IEEE Pacific Visualization 2022 Conference for their paper:

AMM: Adaptive Multilinear Meshes
Lindsay AnnaAnna Busatto and Lindsay Rupp, PhD students in the Biomedical Engineering Department and the SCI Institute, who study with Dr. Rob MacLeod and the CEG group, were two of the thirty accepted participants for the Simula Summer School in Computational Physiology 2022. This summer-long program is a unique opportunity for graduate students to participate in lectures and projects, first in Oslo, Norway and then in San Diego, CA. A big benefit is the chance to network with mentors and graduate students from around the world. By getting accepted to the summer school, Anna and Lindsay also receive travel support and accommodations for both components of the program.
friere aaasCongratulations to SCI alum Juliana Freire who has been honored as an AAAS lifetime fellow.

In a tradition stretching back to 1874, the AAAS Council elects as Fellows a distinguished cadre of scientists, engineers, and innovators who have been recognized for their achievements across disciplines. The 2021 class of AAAS Fellows includes 564 scientists, engineers, and innovators spanning 24 disciplines.

9 kardonGabrielle Kardon, Ph.D., a professor of Human Genetics at University of Utah Health, is a recipient of a 2021 Pew Charitable Trust Innovation Award. She is one of 12 accomplished scientists with expertise in molecular biology, genetics, immunology, neuroscience, or other key fields who were selected to investigate critical issues linked to human health.

We are excited to announce the new release of our software, ShapeWorks 6.2!

To download installation packages for Windows/Mac/Linux and/or the source code, please visit https://github.com/SCIInstitute/ShapeWorks/releases/tag/v6.2.0


HPC21Arecibo ObservatoryIn December of last year, the renowned Arecibo Observatory in Puerto Rico collapsed in spectacular fashion when the 900-ton equipment platform, suspended about 500 feet above the dish, came crashing down due to a support cable unraveling.

Fortunately, no one was hurt, but the question remained: What about the invaluable astronomical and atmospheric science data that was collected for decades by the observatory’s 1,000-foot-wide reflector dish? University of Utah Scientific Computing and Imaging (SCI) Institute and School of Computing professor Valerio Pascucci and U faculty members were part of a consortium of researchers responsible for retrieving that precious data and moving it to a safe location.

IMG 8805Bei Wang Phillips, a Faculty at the SCI Institute and an Assistant Professor at the School of Computing, and Arul Mishra and Himanshu Mishra, both Professors of Marketing at the David Eccles School of Business applied for the competitive Deep Tech grant offered by the State of Utah’s Office of the Commissioner of Higher Education. They were awarded a 3-year grant of about $340,000 for developing courses/modules on AI ethics and fairness that would bring fair and equitable AI to the forefront of education.

ldav21Congratulations to Duong Hoang, Harsh Bhatia, Peter Lindstrom, and Valerio Pascucci on receiving best paper honorable mention at the IEEE Symposium on Large Data Analysis and Visualization (LDAV) for their paper titled "High-quality and Low-memory-footprint Progressive Decoding of Large-scale Particle Data."

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oneAPI cross-architecture programming & Intel® oneAPI Rendering Toolkit to Improve Large-scale Simulations, Data Analytics & Visualization for Scientific Workflows


[Oct. 26, 2021] - The Scientific Computing and Imaging (SCI) Institute at the University of Utah is pleased to announce that it is expanding its Intel Graphics and Visualization Institute of Xellence (Intel GVI) to an Intel oneAPI Center of Excellence (CoE). The oneAPI Center of Excellence will focus on advancing research, development and teaching of the latest visual computing innovations in ray tracing and rendering, and using oneAPI to accelerate compute across heterogeneous architectures (CPUs, GPUs including future upcoming Intel Xe architecture, and other accelerators). Adopting oneAPI’s cross-architecture programming model provides a path to achieve maximum efficiency in multi-architecture deployments supporting CPUs + accelerators. This core approach based on open standards will allow fast, agile development and support new, advanced features without costly management of multiple vendors’ specific proprietary code bases.