The Tau Parallel Performance System
International Journal of High Performance Computing Applications
Knowledge support and automation for performance analysis with PerfExplorer 2.0
Scientific Programming - Large-Scale Programming Tools and Environments
End-to-end framework for fault management for open source clusters: Ranger
Proceedings of the 2010 TeraGrid Conference
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
System-level monitoring of floating-point performance to improve effective system utilization
State of the Practice Reports
Further improving the scalability of the scalasca toolset
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2
Linking Resource Usage Anomalies with System Failures from Cluster Log Data
SRDS '13 Proceedings of the 2013 IEEE 32nd International Symposium on Reliable Distributed Systems
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This paper presents a tool chain, based on the open source tool TACC_Stats, for systematic and comprehensive job level resource use measurement for large cluster computers, and its incorporation into XDMoD, a reporting and analytics framework for resource management that targets meeting the information needs of users, application developers, systems administrators, systems management and funding managers. Accounting, scheduler and event logs are integrated with system performance data from TACC_Stats. TACC_Stats periodically records resource use including many hardware counters for each job running on each node. Furthermore, system level metrics are obtained through aggregation of the node (job) level data. Analysis of this data generates many types of standard and custom reports and even a limited predictive capability that has not previously been available for open-source, Linux-based software systems. This paper presents case studies of information that can be applied for effective resource management. We believe this system to be the first fully comprehensive system for supporting the information needs of all stakeholders in open-source software based HPC systems.