"The Intel oneAPI/SYCL* approach allows for the first-time efficient deployment on any cloud resources of this massive image blending capability that significantly improves the quality of the ecological data distributed by the National Ecological Observatory Network (NEON)*."
—Valerio Pascucci, director, Center for Extreme Data Management Analysis and Visualization (CEDMAV), professor, Scientific Computing and Imaging (SCI) Institute, University of Utah
"The SCI Institute's pioneering research in visualization, imaging, and scientific computing and its long track record in creating open source scientific software will enable their work on oneAPI to help scientists, engineers, and biomedical researchers to focus on their research instead of the details of the underlying software."
—Dan Reed, senior vice president of academic affairs, The University of Utah
Resources
Massive Image Dataset Blending Using SYCL* with Intel® Data Center GPU Max Series.
The migrated C++ with SYCL implementation offers at-par performance with Intel® Data Center GPU Max Series versus NVIDIA* GPU, opening avenues for more accurate and comprehensive scientific investigation using many different platform configurations in the NEON* ecosystem.