Simulation / Modeling / Design

University of Michigan to Install a New GPU-Accelerated Cluster

The University of Michigan has just announced a brand new GPU-accelerated cluster that will include NVIDIA’s Tesla V100 Tensor Core GPUs, the most advanced data center GPU ever built.
The new cluster, which will be named Great Lakes, will support applications in aerospace engineering, deep learning, molecular dynamics, genomics, and cell biology.
“High-performance research computing is a critical component of the rich computing ecosystem that supports the university’s core mission,” said Ravi Pendse, U-M’s vice president for information technology and chief information officer. “
The cluster will eventually replace the university’s older Flux supercomputer that supports over 300 research projects.
With Great Lakes, researchers in emerging fields like machine learning and precision health will have access to a higher level of computational power.” Pendse said. “The end result will be improved performance, flexibility, and reliability for U-M researchers.”
The university has selected Dell EMC as the vendor that will build the cluster. The system is expected to launch in the first half of 2019.
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