The Division of Information Technology is committed to supporting research computing for Stevens faculty, researchers, and students. We offer an array of diverse services and solutions aimed at handling your research needs.
Our catalog for research computing includes HPC clusters for research needs, VM Hosting as a cloud-based solution, physical server hosting, and consulting services. Information Technology is here to partner with you and support your research needs.
Currently, in our state-of-the-art data center, we host a few high-performance clusters for the Stevens campus community to use.
Dorothy, Pharos, and the new DuckUte are free for campus researchers. In order to gain access, please submit a request.
For software requests and installation please submit a process ticket so that we may make the proper updates.
Please note that all jobs on HPC servers are completed on a first come first served basis.
Dorothy, our traditional general-purpose high-performance computing (HPC) system, available on request to campus researchers.
80 compute nodes
50TB of Storage
C, C++, Fortran, Python, Matlab
Slurm job scheduler
Pharos, the private high-throughput and data-intensive computing cluster used exclusively by Davidson Labs and the CEOE department.
64 compute nodes
2 PB of Lustre distributed storage
56 Gbps Mellanox Infiniband fabric for compute nodes and storage system
C, C++, Fortran, R, Python, Matlab
Moab/Torque job scheduler
Contact Dr. Raju V. Datla for more information on Pharos.
DuckUte, a condominium model mixed High Performance Computing cluster at Stevens, extends our compute capabilities for machine learning, simulation and modeling and wide range of other applications. This HPC cluster, formerly known as oHPC, is built with HPE BladeSystem-based servers and has a unique combination of the CPU and GPU compute nodes, managed by the SLURM scheduler.
oHPC stack backed by the Linux system
31 shared mixed CPU/GPU compute nodes (8,10 or 12-core Intel® CPU E5-2680 251GB RAM or NVIDIA Quadro K3100M 4GB RAM)
Total number of CPUs: 1152
Total number of CUDA cores: 10,752
Up to 140TB Storage (HPE 3PAR StoreServ Storage Systems)
SLURM-based resource manager and job scheduler
Standard development tools and custom-built applications
Condominium model cluster
Will have faster CPUs and GPUs to complete computations much faster than our other HPC clusters
Will have multiple queues (Standard, high memory, and GPU queues)
We partner with faculty and research teams to understand their computational requirements and deliver solutions to meet them. Not sure where to start? Schedule a consultation to get started!
We manage an ultramodern datacenter designed to host high-density compute, storage, and network devices – it is the preferred location on campus for hosting servers and systems used for research.
APC model AR-3300 racks
Dual AP8865 PDUs
Generator backup power
Control unclassified information (CUI) environment
Our CUI cluster meets the requirement of NIST special publication 800-171. This environment is available for researchers working on government contracts with CUI requirements.
Need IT Support?
Get support through our self help resources, contacting IT support or visiting TRAC.