Distributed memory working group summary
Instrumentation for future parallel computing systems
A Hybrid Monitor for Behavior and Performance Analysis of Distributed Systems
IEEE Transactions on Software Engineering
Monitoring program behaviour on SUPRENUM
ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture
IPS-2: The Second Generation of a Parallel Program Measurement System
IEEE Transactions on Parallel and Distributed Systems
Distributed Performance Monitoring: Methods, Tools, and Applications
IEEE Transactions on Parallel and Distributed Systems
Near-Critical Path Analysis of Program Activity Graphs
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
A General Approach to the Monitoring of Distributed Memory MIMD Multicomputers
A General Approach to the Monitoring of Distributed Memory MIMD Multicomputers
Hector: An Agent-Based Architecture for Dynamic Resource Management
IEEE Concurrency
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The authors descirbe a new multicomputer performance monitoring system that employs portable performance monitoring instrumentation technology and leverages previous work wherever possible. Its trace-event acquisition is hardware assisted and based on the MultiKron, a single-chip measurement solution developed at the U.S. National Institute for Standards and Technology. The user interface is based on the Pablo Performance Analysis Environment, a visualization and sonification toolkit developed at the University of Illinois. The SPIscope component bridges the gap between these emerging standard interfaces, providing a high-bandwidth path to a large secondary storage for recording performance data. Connectivity to the user's performance analysis workstation is via a TCP/IP LAN. The system provides facilities to support application-specific trace events, breakpoint-style debugging, on-line transmission of selected data, and dynamic acquisition-rate control.By using existing technology and interfaces, the authors hope to contribute a performance monitoring component with greater utility throughout the parallel-processing community. The high bandwidth and large storage capacity of the SPIscope possess immediate significance in refining current limits on practical performance data resolution. The system also provides a foundation for further research in on-line observation, dynamic rate control, and the natural integration of debugging facilities with performance-monitoring tools.