Abstract
Large scale simulation performance is dependent on a number of components, however the task of investigation and optimization has long favored computational and communication elements above I/O. Manually extracting the pattern of I/O behavior from a parent application is a useful way of working to address performance issues on a per-application basis, but developing workflows with some degree of automation and flexibility provides a more powerful approach to tackling current and future I/O challenges. In this paper we describe a workload replication workflow that extracts the I/O pattern of an application and recreates its behavior with a flexible proxy application. We demonstrate how simple lightweight characterization can be translated to provide an effective representation of a physics application, and show how a proxy replication can be used as a tool for investigating I/O library paradigms.
Original language | English |
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Title of host publication | Proceedings of PDSW-DISCS 2016 |
Subtitle of host publication | 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems - Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 13-18 |
Number of pages | 6 |
ISBN (Electronic) | 9781509052165 |
DOIs | |
Publication status | Published - 30 Jan 2017 |
Event | 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, PDSW-DISCS 2016 - Salt Lake City, United States Duration: 14 Nov 2016 → … |
Publication series
Name | Proceedings of PDSW-DISCS 2016: 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems - Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis |
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Conference
Conference | 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, PDSW-DISCS 2016 |
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Country/Territory | United States |
City | Salt Lake City |
Period | 14/11/16 → … |
Bibliographical note
Funding Information:This work was supported in part by AWE under grant CDK0724 (AWE Technical Outreach Programme).
Publisher Copyright:
© 2016 IEEE.
ASJC Scopus subject areas
- Hardware and Architecture
- Information Systems