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.


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top row: Heberth Martinez; middle row: Darren Petty Jr, Zhimin Li, Chuntida Harinnitisuk; bottom row: Aashish Panta, Kaleb Gibson, Keara Soloway
The NSDF (National Science Data Fabric) Pilot is delighted to introduce the winners of its inaugural SC travel awards. Aligned with the NSDF’s mission of democratizing data delivery, these travel awards will enable a diverse cohort of students, early career researchers, and faculty/staff at Minority-Serving Institutions to attend SC23 in Denver, November 12-17.

ee5da0eb6c07f878f2a0e7d8The University of Utah is launching a new research initiative focused on artificial intelligence (AI) that aims to responsibly use advanced AI technology to tackle societal issues. President Taylor Randall announced a $100 million investment in the newly created Responsible AI Initiative that will advance AI and its applications in ways that achieve societal good while also protecting privacy, civil rights and liberties, and promoting principles of accountability, transparency and equity. The initiative will be led by the U’s Scientific Computing and Imaging (SCI) Institute as part of a concerted effort to conduct research at the U that improves the lives of Utah’s 3.4 million residents.

1607352443 1University of Utah professor and SCI director Manish Parashar has receiced the 2023 Sidney Fernbach Memorial Award “For application-aware design of HPC algorithms, systems and architectures, and transformative impact on scientific computing and industry.”

Through $5M funding by the U.S. National Science Foundation (NSF) and $3.75M funding by the Natural Sciences and Engineering Research Council of Canada (NSERC), the University of Utah and University of Calgary will establish and co-lead the U.S.-Canada Center on Climate-Resilient Western Interconnected Grid.

The Western Interconnected Grid, commonly known as “the Western Interconnection,” is one of the two major interconnected power grids in North America, which stretches from the northern edge of British Columbia, Canada to the border of Baja, Mexico, and from the California coast to the Rockies, and serves roughly 80 million people over 1.8 million square miles across two Canadian provinces and fourteen western states in the United States. The Western Interconnection is the backbone of one of the largest regional economic engines in the world.

National Data Platform Pilot: Services for Equitable Open Access to Data.


Dates: 2023-2026.

PIs: Ivan Rodero (SCI), Ilkay Altintas, overall PI, University of Colorado Boulder and EarthScope. Collaborators from Utah include Todd Green (SCI), Philip Davis (SCI), Joe Breen (CHPC) and Harish Maringanti (Libraires).

Abstract: The National Data Platform Pilot (NDP) project aims to address the challenges faced by the scientific community in accessing vast data efficiently and equitably. The project intends to create a unified data ecosystem leveraging Cyberinfrastructure (CI) capabilities. It seeks to standardize data processes, fill existing gaps in data CI, and offer data services that promote broad access and collaboration. Furthermore, the NDP emphasizes building an interconnected data hub network to boost scientific understanding, policy formation, and societal impact, with a strong commitment to equity in AI research. The University of Utah’s role involves enhancing the current data CI, integrating diverse data sources, democratizing data access, building on the foundation laid by the NSF Virtual Data Collaboratory (VDC) project, and integrating relevant science driver applications. This endeavor aims to make technology more accessible to a wide audience and amplify the value of facilities' data.

By Chris Johnson.

Sadly, our great friend, mentor, and supporter, John Warnock, passed away on Saturday, August 19, 2023. I was fortunate to meet John when I was a young Assistant Professor, and I got to spend time with this amazing person over the past many years. He was always ready to tell stories giving details and background of his innovations in computer graphics and desktop publishing. He also enjoyed talking about his passion for great books and this efforts to share these great books with the world via his Rare Book Room:

Decentralized solutions can make academic research more secure and more accessible.


Academic institutions house some of the world’s most important data generated from years of research. Yet centralized data storage models are becoming a concern for many universities looking to keep critical information safe and accessible.

Manish AwardCongratulations to Manish Parashar for receiving the 2023 Achievement Award in High Performance Distributed Computing for pioneering strategic and technical contributions, and international leadership in high performance parallel and distributed computing, computational science, and cyberinfrastructure.
1000014743Congratulations to Jake Bergquist who received the Heart Rhythm Society fellowship award. This is a one year, $50,000 fellowship to support research in cardiac electrophysiology.

1607352443 1We are happy to announce that Manish Parashar is the recipient of the 2023 Achievement Award in High Performance Distributed Computing for pioneering contributions in high performance parallel and distributed computational methods, data management, in-situ computing, and international leadership in cyberinfrastructure and translational computer science.

By Despina Giannopoulos
March 10, 2023

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Youjia Zhou is a computing Ph.D. candidate at the University of Utah working to help scientists and mathematicians with their knowledge-discovery process through practical visual analytics systems. Her research focuses on large and complex data, coupling theoretical analysis with interactive visualization to help users quickly gain insights from complex graphs and hypergraphs.