Scientific Computing and Imaging Institute

Scientific Computing and Imaging Institute

Established	1994
Research type	Computer science and translational research
Field of research	Scientific visualization, High performance computing, Image analysis
Director	Chris Johnson
Location	Salt Lake City, Utah
Affiliations	University of Utah School of Computing University of Utah School of Medicine University of Utah College of Engineering
Operating agency	University of Utah
Website	www.sci.utah.edu

The Scientific Computing and Imaging (SCI) Institute is one of eight permanent research institutes at the University of Utah. Research focuses on the development of new scientific computing and visualization techniques, tools, and systems with primary applications to biomedical engineering. The SCI Institute is noted worldwide in the visualization community for contributions by faculty, alumni, and staff. Faculty are associated primarily with the School of Computing, Department of Bioengineering, Department of Mathematics, and Department of Electrical and Computer Engineering, with auxiliary faculty in the Medical School and School of Architecture.

The Scientific Computing and Imaging Institute started in 1992 as a research group in the University of Utah School of Computing by Chris Johnson and Rob MacLeod. In 1994 this group became the Center for Scientific Computing and Imaging, and in 2000 the name was changed to the Scientific Computing and Imaging (SCI) Institute. In 2007, the SCI Institute was awarded funding from USTAR to recruit more faculty in medical imaging technology. The SCI Institute was recognized as an NVIDIA CUDA Center of Excellence in 2008. In 2011, USTAR funding allowed faculty recruitment for genomic signal processing and information visualization. in 2014, Intel partnered with the SCI Institute to form the Intel Parallel Computing Center for Scientific Rendering to research and develop large scale and in situ visualization techniques for Intel hardware.