ITaP Research Computing releases new tool for interactive data analysis
ITaP Research Computing has released a new, interactive computing environment for researchers who need more computational power for big data analysis than is available on workstations, but don’t need the batch or parallel processing capabilities of Purdue’s community cluster supercomputers.
The new tool, known as Data Workbench, provides remote desktop access to the Linux desktop via ThinLinc, easy access to web-based data analysis tools such as JupyterHub and R Studio Server, and tools to customize and run virtual private interactive Windows desktops. It’s fully integrated with other Research Computing services, including the Data Depot and Fortress data storage services, the Globus data transfer service and Research Computing GitHub repositories.
Data Workbench consists of HP compute nodes with two 8-core Intel Xeon E5 CPUs per node and 256 GB of RAM. The nodes are interconnected with 10 Gigabit Ethernet.
For approximately $300 per year, researchers can purchase access to the shared Data Workbench nodes for themselves and their students or lab members. Data Workbench is designed to be easily accessible to those who have not used high-performance computing before, and researchers do not need to be members of Purdue’s Community Cluster Program to purchase access to it.
For researchers who currently use Community Clusters, the interactive computing capabilities of the Data Workbench will be adapted for use on the Community Clusters.
To learn more about Data Workbench and other ITaP Research Computing resources, contact Preston Smith, director of research services and support, psmith@purdue.edu or 49-49729.