The Keck Computational Research Cluster
The Keck Computational Research Cluster is the premier computational resource available to Chapman researchers. Located in the Keck Center for Science and Engineering and extending into multiple public clouds, it provides CPU and GPU processing for research workloads of all kinds.
Cluster Summary (for grant applications):
“The Keck College High Performance Computing (HPC) cluster is available for researchers to run computationally-demanding, large-memory-requirement research workloads quickly and efficiently. Located in Chapman University's Keck Center for Science & Engineering, the cluster contains over 2560 Intel Xeon and AMD EPYC compute cores, 12.8 TB of RAM, and direct access to all-flash and disk-storage SAN arrays. 24 Nvidia TESLA GPU modules (A100/V100) are available for workloads that benefit from GPU-accelerated processing. Access and management of the cluster and associated applications is supported by the University's IS&T Research Computing team.”
- 15 physical on-premise servers
- 2560 Intel Xeon and AMD EPYC CPU cores
- 12.8 TB of RAM
- 40,960 NVIDIA Turing GPU Cuda cores
- 5,120 NVIDIA Turing GPU Tensor cores
- 384 GB RAM
- 48 Intel Xeon cores
- 8 NVIDIA Tesla V100 SXM2 GPUs
- 384Gb of RAM each
- 40 Intel Xeon cores each
- 5 NVIDIA Tesla V100 GPUs each
- 512 GB of RAM each
- 3 NVIDIA Tesla V100 GPUs
- 256Gb of RAM each
- 72 Intel Xeon cores each
- 2048 GB of RAM each
- 256 AMD EPYC cores each
- 128Gb of RAM
- 16 Intel Xeon cores
Up to 1000 additional on-demand nodes, instantiated as needed in AWS, Azure, or Google public clouds.