SPORC - High Performance Computing Cluster

SPORC (Scheduled Processing On Research Computing) is Research Computing's High Performance Computing (HPC) cluster. An HPC cluster is a collection of connected computers coordinated to perform tasks with high efficiency. SPORC is specially made to assist researchers in expediting the process of collecting and analyzing data with its computational power. A more in-depth look at SPORC can be found on the SPORC - Overview documentation page.

Technical Specifications

  • 2304 cores (Intel® Xeon® Gold 6150 CPU @ 2.70GHz)
  • 24 TB RAM
  • 100 Gbit/sec RoCEv2 interconnect (Mellanox MLX5/Juniper QFX210-64c)
  • 64 SuperMicro X11 systems with space for 4 GPU cards
  • 16 Nvidia V100 cards
  • 48 Nvidia P4 cards
  • 100 Nvidia A100 cards

The Ocho

Our large single-system image (SSI) compute node, affectionately referred to as "the Ocho", is a node in SPORC.

Technical Specifications
  • SYS-7089P Supermicro 8-way
  • 192 cores (Intel® Xeon® Platinum 8168 CPU @ 2.70GHz)
  • 3.06 TB RAM
  • 1 Nvidia V100 card


Research Computing will have a regularly scheduled maintenance day once a month. For more details, check out our Maintenance page.

Available Software

We currently offer numerous applications useful for gathering and analyzing data. A large number of research topics have applications that would assist in the researching process. The following is a sample of applications we currently provide for researchers. To see all the software available, log onto SPORC and type module avail into the command line. More information on what this means and how to use modules can be found on the Using Modules page. For more applications provided by us and their respective documentation see Instructions.

Application Examples
  • Ansys - complex engineering simulation
  • Candence - design electronics (chips, circuit boards, etc.)
  • Comsol - interactive environment for modeling and simulating scientific and engineering problems
  • MATLAB - create models and applications, develop algorithms, analyze data
  • Torch- open-source machine learning

High Throughput Computing (HTC)

High Throughput Computing (HTC) splits large jobs into much smaller, simpler tasks. These jobs are run in parallel on SPORC which allows for data to be collected more efficiently and for researchers to receive their results quicker. Our HTC service gives researchers access to large amounts of computational power and high-quality resources which can be shared among their group, allowing for collaboration. Researchers are able to manage their jobs, check the status of each job, and see the availability of resources.

Accelerator Assisted Compute

An accelerator is a hardware device or software program whose purpose is to enhance the overall performance of the computer. The hardware accelerator works by performing functions with its own custom logic faster than the CPU. With this, the time taken to perform specific jobs is cut down significantly and the CPU is unburdened to perform other tasks. For researchers this means that, by utilizing accelerators, you can get results for your research faster.

Cloud Computing

Research Computing will help researchers develop a cloud computer environment tailored to the researcher's needs. Assistance is provided to help researchers utilize cloud services and tools so that research data can be collected, stored, and analyzed in an efficient way. 

Virtual Hosting Services

Virtual Hosting is when a physical server is divided into multiple isolated virtual environments by a software application. RIT schools, departments, researchers, or any other member of RIT can request virtualized hosting services for a new project or application, a new service, new portions or an existing environment, or for a hosting platform. Guest hosting services are also available for research and administrative applications. 

Citation & Acknowledgement


If Research Computing helped you complete your published work, please acknowledge us and use the citation below. Acknowledgment helps us grow and continue to support more researcher's in their quest to discover. Feel free to include specifics as to how we helped you. The following is an example:

The authors acknowledge Research Computing at the Rochester Institute of Technology for providing computational resources and support that have contributed to the research results reported in this publication.


Rochester Institute of Technology. Research Computing Services. Rochester Institute of Technology. https://doi.org/10.34788/0S3G-QD15



doi = {10.34788/0S3G-QD15},

url = {https://www.rit.edu/researchcomputing/},

author = {{Rochester Institute of Technology}},

title = {Research Computing Services},

publisher = {Rochester Institute of Technology},

year = {2022} }


T1 - Research Computing Services

AU - Rochester Institute of Technology

DO - 10.34788/0S3G-QD15

UR - https://www.rit.edu/researchcomputing/

AB - RIT Research Computing supplies advanced research technology resources and support to researchers in their quest to discover.

PY - 2022

PB - Rochester Institute of Technology

ER -