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High-Throughput Computing Use Cases, v2.1PDF

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Title:High-Throughput Computing Use Cases, version 2.1
Author(s):Foster, Ian; Grimshaw, Andrew; Tuecke, Steven; Wilde, Michael
Contributor(s):Liming, R Lee
Subject(s):XSEDE
use cases
high-throughput computing
workflow
Abstract:These use cases describe the most common ways that researchers use high-throughput computing (HTC) resources. Also known as "capacity computing," high-throughput computing allows researchers to run a very large number of modeling, simulation, or data analysis tasks in a short amount of time. The resources required by each task can be small (similar to what one could run on a basic computer) or very large (requiring more active memory or CPU cycles than "normal" computers provide). What makes HTC unique is the fact that many runs of the same application are required to complete a research project. HTC resources allow researchers to complete projects faster than they could if they were limited to the computers available in their own offices, labs, or research institutions. Each HTC resource is designed, constructed, and operated by a service provider (SP) organization, such as the Pittsburgh Supercomputing Center (PSC) or University of Michigan. An HTC resource may contribute services to one or more public research computing communities, such as XSEDE or Open Science Grid (OSG). These use cases focus on the experiences researchers in a given community have with the HTC resources in that community. Using an HTC resource is most often part of a larger research process, so these use cases also mention the community’s website and documentation, registration and account management services, allocation services, and tools to help move applications and data into and out of individual HPC resources.
Issue Date:2019-08-16
Series/Report:High-Throughput Computing Use Cases v2.1
Genre:Technical Report
Working / Discussion Paper
Type:Text
Language:English
URI:http://hdl.handle.net/2142/104708
Sponsor:National Science Foundation OCI-1053575
Date Available in IDEALS:2019-08-16


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