XSEDE Capability Delivery Plan for "DA-05: In situ computational steering"

Use Case DA-05: Steer a large computation while it runs

Area: Scientific Data
URLs: Public, Review

Executive Summary: A researcher needs to “steer” a large computation while it is running to focus on important or interesting parameters. The researcher inspects or visualizes the output of the computation while it is running and adjusts the parameters used for the remainder of the computation.

Organization: 
XSEDE
First CDP: 2018-08-31
Current CDP: 2018-08-31
Current Implementation Status: 
FULL
Time & Effort Summary: 

No additional effort or changes are proposed at this time.

Significant Revisions:
  • 2018-08-31 15:10 (current revision)
This capability is currently supported by the following 4 components:
Component User facing? Component’s role in the capability
Research Software Portal (RSP) yes The Research Software Portal (RSP) provides features that allow Service Providers (SPs) and researchers to make known the specific simulation and data analysis applications and tools that are available for use, either on SP resources or available in other ways. This is an important piece of ensuring that the right simulation and data analysis applications are available on resources for use as described in this use case.
Service Provider Batch Processing Services yes The batch processing systems provided by XSEDE Service Providers (SPs) are the front-end interface to most of XSEDE's computational power. This is how the researcher submits simulations for processing.
yes The XSEDE Single Sign-On Hub (SSO Hub) provides a common mechanism for logging on to XSEDE Service Provider (SP) resources, particularly those that offer batch processing, as described in this use case. This is how the researcher logs into the computational resources.
yes The XSEDE User Portal is XSEDE's primary Web interface and documentation source. It provides features that allow researchers to discover which data analysis applications and tools are available on each XSEDE resource and how to use them, and this is an important piece of ensuring that the necessary data analysis applications and tools are available on XSEDE resources as described in this use case.

National Science Foundation (NSF)

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ACCESS is an advanced computing and data resource supported by the National Science Foundation and made possible through these lead institutions and their partners:
Carnegie Mellon University, University of Colorado Boulder, University of Illinois at Urbana-Champaign, and State University of New York at Buffalo .


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