SCHEDULE: NOV 16-22, 2013
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Scalable Client-Server Visualization of Callpath Traces for Large-Scale Parallel Executions
SESSION: ACM Student Research Competition Poster Reception
EVENT TYPE: ACM Student Research Competition Posters, ACM Student Research Competition
TIME: 5:15PM - 7:00PM
AUTHOR(S):Philip A. Taffet
ROOM:Mile High Pre-Function
ABSTRACT:
Scalable performance analysis tools are important for analyzing large-scale parallel executions. Sampling, typically far more scalable than instrumentation, still produces quantities of data that are unmanageable by current post-mortem analysis tools when analyzing large-scale executions. Hpctraceserver, a new addition to the HPCToolkit performance tools, improves the scalability of hpctraceviewer, a GUI post-mortem analysis tool, by extending it with a client-server model. Hpctraceserver, an MPI application, computes projections of the traces in parallel to fit the clients window size with sampling and streams the results to the client over a TCP connection. Using the server allows hpctraceviewer to render views from remote multi-gigabyte databases in seconds. Hpctraceserver enables interactive analysis of large-scale parallel executions and removes the need to transfer large quantities of data in order to analyze them.
Chair/Author Details:
Philip A. Taffet - Rice University
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