Developer Resources from Intel and The University of Utah (UofU)*
The National Ecological Observatory Network (NEON)* periodically collects data from various locations in the United States using NEON Airborne Observation Platforms (AOPs) to understand ecological changes across the nation. The Scientific Computing and Imaging Institute (SCI) at The University of Utah (UofU)* used Intel oneAPI tools to implement the NEON AOP color-blending algorithm using multi-vendor-supported SYCL*.
- The migrated C++ with SYCL version offers at-par performance with Intel® Data Center GPU Max Series versus NVIDIA* GPU
Source, enabling comprehensive and accurate scientific investigation across diverse architectures in the NEON ecosystem.
Get Started with SCI at UofU in Collaboration with Intel
The Scientific Computing and Imaging Institute (SCI) at UofU uses oneAPI for accelerated visual computing.
Case Study
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.
"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 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
Intel® oneAPI Base Toolkit
Download the Stand-Alone Version
Develop performant code quickly and correctly across hardware targets, including CPUs, GPUs, and field-programmable gate arrays (FPGAs), with the standards-based, multiarchitecture Intel® oneAPI DPC++/C++ Compiler.
Download the Stand-Alone Version
A stand-alone download of oneMKL is available. You can download binaries from Intel or choose your preferred repository.