HOW TO REQUEST ACCESS TO CURRENTLY DEPLOYED DL RESOURCES
Users can request access to the following resources:
- HAL cluster — a 16-node IBM POWER9 cluster with NVIDIA V100 GPUs. For hardware details and current system status see this wiki page. The system provides IBM PowerAI platform, which includes Caffe, TensorFlow, and Pytorch.
- Nano cluster — an 8-node Intel Xeon cluster with NVIDIA P100 and V100 GPUs. For hardware details, current cluster status, and request access please see this wiki page. Several DL frameworks, including TensorFlow and Pytorch, are installed on this system.
- You must provide a short description of the project (1 paragraph) and answer a few questions about the intended use of the system. If the description is unclear to us, we will contact you for more information.
- You agree to provide a short written report about your experiences with the system, both positive and negative, as well as titles and reference information (e.g., BibTeX entry) for any papers that you create that make use of these systems.
- You agree to acknowledge the resource with the credit statement listed below.
- You understand and agree that the provided hardware and software is experimental and not of production quality. While we will work with the users to minimize the distraction and accommodate their needs to the best of our abilities, we do not guarantee system or software availability, data integrity, or any quality of services (e.g., we may reboot the system in the middle of your job, install new hardware and software that will make all of your prior work unusable, delete your files, etc.). Obviously, we will make every effort to warn the users about such actions, but we cannot guarantee this.
ACKNOWLEDGE USE OF THESE SYSTEMS
To acknowledge the use of these systems in your research, please include the following credit statements with any publication you produce:
For HAL cluster:
This work utilizes resources supported by the National Science Foundation’s Major Research Instrumentation program, grant #1725729, as well as the University of Illinois at Urbana-Champaign.
For Nano cluster:
This work utilizes resources provided by the Innovative Systems Laboratory at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign.