Big Data analytics using Spark, Hadoop and SparkR can be conducted on the NSF-XSEDE Bridges-2 system at the Pittsburgh Supercomputing Center.
In order to access this supercomputer, students, researchers, faculty and staff members are required to attain an allocation of XSEDE Service Units (SUs).
There are three official allocation types:
Startup Allocations - Requesting a startup allocation is a great way to begin using big data analytics tools. Appropriate uses for Startup Allocations include:
- Application development by researchers and research teams
- Benchmarking, evaluation and experimentation on the various resources
- Testing existing data analytics workflows
Education Allocations - This flavor of Service Unit Allocation is reserved for academic courses or training activities that have specific start and end dates. Examples of appropriate uses for Education Allocations include:
- Conducting a class that utilizes Spark/Hadoop/SparkR
- Conducting a training session or an introductory seminar on Big Data Analytics
Faculty who wish to conduct a course that utilizes Spark, Hadoop or SparkR can request Service Unit allocations through the Education Allocation Requests process.
Research Allocations - Once users have progressed beyond the startup phase and gained insight into their workflow, researchers can officially request a Research Allocation. Research requests are accepted and reviewed quarterly by the XSEDE Resource Allocations Committee (XRAC).
Access to all XSEDE platforms is conducted through the XSEDE single sign-on hub. View information on signing up and accessing Bridges-2.
If you have questions, please contact ITS-Research Services: email@example.com.
Past 90 Days
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Work is required to refresh networking gear in the building. Wired and wireless services to the campus network, as well as the Internet, will be disrupted.