Darshan for HEP applications
- Argonne
- Brookhaven
- Fermilab
Modern HEP workflows must manage increasingly large and complex data collections. HPC facilities may be employed to help meet these workflows’ growing data processing needs. However, a better understanding of the I/O patterns and underlying bottlenecks of these workflows is necessary to meet the performance expectations of HPC systems.Darshan is a lightweight I/O characterization tool that captures concise views of HPC application I/O behavior. It intercepts application I/O calls at runtime, records file access statistics for each process, and generates log files detailing application I/O access patterns.Typical HEP workflows include event generation, detector simulation, event reconstruction, and subsequent analysis stages. A study of the I/O behavior of the ATLAS simulation and filtering stage, and the CMS simulation workflow using Darshan is presented, including insights into the I/O operations and data access size.
- Research Organization:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 2468766
- Report Number(s):
- FERMILAB-CONF-24-0691-CSAID; oai:inspirehep.net:2785516
- Conference Information:
- Journal Name: EPJ Web Conf. Journal Volume: 295
- Country of Publication:
- United States
- Language:
- English
24/7 Characterization of petascale I/O workloads
|
conference | August 2009 |
Experience with the CMS event data model
|
journal | April 2010 |
Similar Records
Darshan for HEP applications
Performance Evaluation of Darshan 3.0.0 on the Cray XC30
DXT: Darshan eXtended Tracing
Conference
·
2023
·
OSTI ID:2447365
Performance Evaluation of Darshan 3.0.0 on the Cray XC30
Technical Report
·
2016
·
OSTI ID:1250469
DXT: Darshan eXtended Tracing
Conference
·
2019
·
OSTI ID:1490709