Statistical scalability analysis of communication operations in distributed applications
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
SvPablo: A Multi-Language Architecture-Independent Performance Analysis System
ICPP '99 Proceedings of the 1999 International Conference on Parallel Processing
MRNet: A Software-Based Multicast/Reduction Network for Scalable Tools
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Practical performance portability in the Parallel Ocean Program (POP): Research Articles
Concurrency and Computation: Practice & Experience - The High Performance Architectural Challenge: Mass Market versus Proprietary Components?
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Visual analysis of I/O system behavior for high-end computing
Proceedings of the third international workshop on Large-scale system and application performance
Understanding and Improving Computational Science Storage Access through Continuous Characterization
ACM Transactions on Storage (TOS)
Application-specific fault tolerance via data access characterization
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part II
Boosting Application-Specific Parallel I/O Optimization Using IOSIG
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
A study on data deduplication in HPC storage systems
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Numprof: a performance analysis framework for numerical libraries
PARA'12 Proceedings of the 11th international conference on Applied Parallel and Scientific Computing
Characterization and modeling of PIDX parallel I/O for performance optimization
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Automatic identification of application I/O signatures from noisy server-side traces
FAST'14 Proceedings of the 12th USENIX conference on File and Storage Technologies
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Scientific applications use input/output (I/O) for obtaining initial conditions and execution parameters, as a persistent way of saving program output, and for safeguarding against system unreliability. Although system sizes are expected to continue increasing, I/O performance is not expected to keep pace with system computation and communication performance. Understanding application I/O demands and system I/O capabilities is the first step toward bridging this gap between them. In this paper, we present our approach for characterizing the I/O demands of applications on the Cray XT. We also present preliminary case studies showing the use of our I/O characterization infrastructure with climate studies and combustion simulation programs.