The Dogwood cluster is a Linux-based computing system available to researchers across the campus free of charge. With over 11,000 computing cores, a low latency, high bandwidth Infiniband EDR switching fabric and a large scratch disk space, it provides an environment that is optimized for large, multi-node, tightly coupled computational models typically using a message passing (e.g. MPI) or hybrid (OpenMP + MPI) programming model. Most of the cluster is comprised of nodes with Intel Xeon processors with the Broadwell-EP micro-architecture and 44 cores per node. There is a partition with some newer Intel Skylake nodes as well as a smaller knl partition, with Intel Xeon Phi processors (Knight’s Landing) for development purposes. Resources are managed through a fair-share algorithm using SLURM as the resource manager/job scheduler.

Get an account on Dogwood and learn more:

Getting started on Dogwood

Dogwood SLURM examples

Dogwood MPI modules

Dogwood partitions and limits

Mass Storage Migration

Sign up for the next “Using Dogwood” Research Computing Training Course:

Research Computing Course Calendar.

Review Research Computing Course Materials: Using Dogwood


Last Update 6/23/2024 11:53:41 AM