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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 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
  • 96 Nvidia P4 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
  • 1 Nvidia V100 card

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, after logging on to SPORC type module avail into the command line. More information can be found on the Using Modules page. We are currently in the process of creating documentation for the applications we provide, 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) allows for large tasks to be completed quickly be splitting up the tasks into many, smaller, simpler jobs. 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. 

Research Computing Staff & Affiliates

Research Computing Staff
Emilio Del PlatoSr. Systems Administrator / Engineer
Jennifer HertingSystems Administrator
Paul MezzaniniSr. Systems Administrator / Engineer
Sid PendelberrySr. Systems Administrator / Engineer
Research Computing Affiliates
Andy ElbleITS - Network / Communications
Charles GruenerCenter for Advancing the Study of Cyber Infrastructure
Ed HuyerInteractive Games and Media
Brett MatzkeCollege of Imaging Science
Ben MeyersCenter for Advancing the Study of Cyber Infrastructure
Bryan MeyersCollege of Engineering
Jay SullivanCollege of Imaging Arts and Sciences
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