Developer Resources from Intel and Argonne
The US Department of Energy’s (DOE) Argonne National Laboratory, together with Intel and Hewlett Packard Enterprise* (HPE), developed the Aurora supercomputer. It offers exascale computing for simulation, AI, and data analysis workloads in open scientific research. Researchers with computationally intense problems can apply for time on Aurora.
Intel and Argonne Case Studies
Lawrence Berkeley National Laboratory: Solving Challenging Energy Problems
Power AI-Driven Research with Argonne's Aurora Exascale Supercomputer
Princeton Plasma Physics Laboratory: Advancing Fusion Energy Science
Duke University: Building Patient-Specific Fluid Dynamics Models
Accelerate Materials Discovery with Argonne's Aurora Exascale Supercomputer
Compute the Cosmos with Argonne's Aurora Exascale Supercomputer
Compute the Cosmos with Argonne's Aurora Exascale Supercomputer
"We're seeing encouraging early application performance results on our development systems using Intel® Data Center GPU Max Series—applications built with Intel® oneAPI compilers and libraries. For leadership-class computational science, we value the benefits of code portability from multivendor, multiarchitecture programming standards such as SYCL* and Python* AI frameworks such as PyTorch* accelerated by Intel libraries. We look forward to the first exascale scientific discoveries from these technologies on the Aurora system next year."
— Dr. Timothy Williams, deputy director, Argonne Computational Science Division
Use Argonne Aurora and Intel® Software
Learn how to get started with or how to get the most from Argonne Aurora, using Intel CPUs, GPUs, and HPC software tools.
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