Additional Supercomputing resources

The HPC cluster maintained at CWRU is of a modest size in comparison with other HPC / supercomputer resources and commercial providers.  While our resource serves well for many research uses, it is not of adequate size to handle larger computational tasks that may require several hundred or several thousand simultaneous processors.  For those larger jobs, there are other resources available to CWRU researchers that are both free and commercially available.

Feel free to send any inquiry about the following resources to hpc-support@case.edu.

State and National-funded Computational Resources

OSC (Ohio Supercomputing Center)

The Ohio Supercomputer Center is a statewide resource that provides supercomputing services and computational science expertise to Ohio university researchers as well as Ohio industries.

ACCESS/XSEDE 

ACCESS (previously called XSEDE) integrates resources and services - supercomputers, collections of data, and new tools, makes them easier to use, and helps more people use them. ACCESS provides the platform to get the allocation to multiple national-funded supercomputers that are located at the San Diego Supercomputing Center (SDSC), Texas Advanced Computing Center (TACC), Pittsburgh Supercomputing Center (PSC), and a few other locations.

Commercial on-demand computational resources

POD (Penguin on Demand)

Penguin Computing on Demand (POD) provides you HPC resources for which you pay-as-you-go. You don't need to own a powerful cluster to run your jobs even at large scale. POD's compute environment was designed specifically for high-performance computing and features typical HPC components such as low-latency interconnects and GPUs. For optimum performance all jobs are managed by industry leading HPC schedulers that support the job submission semantics of the open source scheduler TORQUE. All jobs are executed directly on POD HPC servers without a virtualization layer in the middle which provides similar environment as CWRU High Performance Computing (HPC) Cluster. Visit POD website for details.

Amazon AWS (Amazon Web Services, Cloud Computing)

Amazon AWS provides a stack of cloud computing web services that provide customizable, on-demand computational resources in the cloud. It is designed to accommodate bursty, on-demand computing by eliminating the complexity of building a significant hardware investment upfront.

Google Cloud / Google Computing Platform

Similar to AWS, Google provides a stack of cloud computing web services for on-demand computational resources. Google Computing Platform (GCP) is the main competitor of Amazon AWS and might provide the same service at a slight lower price.

 

 

Details

Article ID: 7767
Created
Wed 7/27/22 8:55 AM
Modified
Wed 7/27/22 8:55 AM