ACCESS provides resources, software, training, and consulting that enable data analysis-related activities such as:

• Discover data analysis resources and documentation

• Managed data transfer

• Prepare data for analysis

• Analyze data from research instruments

• Analyze data generated by a simulation

• Steer a large computation while it runs

Infrastructure Resources

All ACCESS high-performance computing, high-throughput computing, storage, visualization, and cloud infrastructure resources can be used for data analysis. Specific features that are especially useful for data analysis include:

• GPUs for accelerated data analysis using AI and machine learning techniques

• Data storage resources

Software and Services

For data collections:

• Data Collections on PSC Bridges

To discover data analysis related software and services on ACCESS allocated HPC resources:

• Visit the User Portal software search

To discover data analysis related software and services available in any form (installable packages, cloud images, containers, SaaS, etc.) on ACCESS allocated resources, ACCESS un-allocated resources, and non-ACCESS resources:

• Visit the Software Discovery Service (SDS) software discovery interface

To discover ACCESS integrated Science Gateways that may provide domain specific data analysis capabilities:

• Visit the ACCESS Science Gateways List

Training

The Cornell Virtual Workshops covers data analysis topics including: Python, Matlab, R, HDF5, Large Data Visualization, ParaView, VisIt, Relational Databases, and MapReduce.

Consulting and Extended Support

For more information regarding users needing assistance finding and using data analysis related resources, software, services, training, or needing lightweight consulting please refer to our MATCH services.