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.


September has been good for publications with three papers winning awards.

Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian. Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. The 13th International Workshop on The Statistical Atlases and Computational Modeling of the Heart (STACOM) - MICCAI, 2022, won the “Best Paper Award.”

Daniel Klötzl, Tim Krake, Youjia Zhou, Ingrid Hotz, Bei Wang, Daniel Weiskopf. Local Bilinear Computation of Jacobi Sets.
Computer Graphics International (CGI), 2022, won the "Second Best Paper Award."

Surojit Saha, Ouk Choi, Ross Whitaker. Few-Shot Segmentation of Microscopy Images Using Gaussian Process. "Best Paper" at 1st International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis.

The oneAPI Center will build a portable, scalable, performant ZFP backend using oneAPI and SYCL to advance exascale computing

Manycore and multicore architectures with large memory help with a wide variety of analyses, such as Morse-Smale decomposition to understand ion diffusion characteristics of simulated battery anode materials.

Monday the 19th, Salt Lake City – The University of Utah announces the creation of a new oneAPI Center of Excellence focused on developing portable, scalable, and performant data compression techniques. The Center for Extreme Data Management Analysis and Visualization (CEDMAV) at the University of Utah, in collaboration with the Lawrence Livermore National Laboratory’s (LLNL) Center for Applied Scientific Computing (CASC) will accelerate ZFP compression software using oneAPI open, standards-based, programming on multiple architectures to advance exascale computing.

SCI is excited to announce six new projects that have been funded this past month. We look forward to sharing the research efforts from our amazing faculty and students.

Anna Busatto UURUN19Anna Busatto has been named a recipient of the 2022 Pac-12 Postgraduate Scholarship.

The scholarship is worth $9,000 and annually recognizes up to two student-athletes from each Pac-12 school. Established in 1999, the award honors and financially assists some of the Conference's most outstanding athletes and scholars as they continue their educations and prepare for careers in their chosen industries. Across the Pac-12, scholarship recipients maintained a minimum 3.0 grade-point average and demonstrated a commitment to education, campus and community involvement, and leadership.

The SCI Institute is pleased to announce five new faculty hires whose combined expertise will not only enhance the current research at the Institute, but also lay the path for future endeavors. The SCI Institute’s overarching vision is the transformation of science and society through translational research and innovation in computer, computational, and data science. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of scientific and societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools. These new hires will expand the core research expertise at SCI, and will continue to broaden the diversity of faculty, students, and staff.

facilities fleetSEED2SOIL: Telematic Data for Fleet Vehicles: A Data-Driven Solution Towards Optimal Fleet Management and Clean Vehicle Adoption

Assessing the performance of fleet services has long been an important yet challenging issue for public agencies and researchers. Performance evaluation can help the campus facilities division identify underperforming services, plan for potential investments, justify the previous investments, consolidate across multiple services, and communicate accomplishments and challenges. The goal of this study is to use telematics data to analyze the performance of the fleet operation systems and develop strategic solutions for effective fleet service management. The team will utilize a combination of Geographical Information System (GIS), data science, and visualization methods to identify the underutilized fleet and service coverage gaps, and inform strategic decision-making related to consolidated services and zero-emission vehicle deployment. This will be a joint project between PI Xiaoyue Cathy Liu at the Civil And Environmental Engineering and Co-PI Bei Wang Phillips from the SCI Institute. Through the SEED2SOIL program (, researchers use the University of Utah Campus as a Living Lab to improve campus operations and contribute to broader sustainability knowledge.
1607352443 1School of Computing professor Manish Parashar, who is the director of the University of Utah’s Scientific Computing and Imaging Institute, was recently named Presidential Professor.

The title of Presidential Professor is reserved for those with achievements that “exemplify the highest goals of scholarship as demonstrated by recognition accorded to them from peers with national and international stature and whose record includes evidence of a high dedication to teaching.”

2021 chi revisit task overviewCongratulations to Alex Lex on his NSF award from the CISE Community Research Infrastructure program titled “reVISit: Scalable Empirical Evaluation of Interactive Visualizations". The project is in collaboration with WPI and the University of Toronto.

We are excited to announce the new release of our software, ShapeWorks 6.3!

To download installation packages for Windows/Mac/Linux and/or the source code, please visit

Bei2Congratulations to Bei Wang on her NSF career award. A Measure Theoretic Framework for Topology-Based Visualization. Data generated from multiphysics simulations, such as binary black hole mergers and fluid dynamics, has experienced exponential growth thanks to the growing capabilities of computing facilities. At the same time, data-intensive science relies on the acquisition, management, analysis, and visualization of data with increasing spatial and temporal resolutions. This project develops a new set of approaches to support the core tasks in scientific data visualization (such as feature tracking, event detection, ensemble analysis, and interactive visualization) in a way that is more reflective of the underlying physics using measure theory. The results will be instantiated by a collection of open-source software tools to be deployed for the collaborating scientists in materials science and high-performance computing, and the larger research community. This project leverages tools from geometric measure theory, information theory, and transportation theory for topology-based visualization, which utilizes topological concepts to describe, reduce and organize data for scientific understanding and communication.
Hol2022bCongratulations to John Holmen, Damodar Sahasrabudhe and Martin Berzins for their best paper award at PASC22.

J.K. Holmen, D. Sahasrabudhe, M. Berzins. “Porting Uintah to Heterogeneous Systems,” In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC22), ACM, 2022.