| Type of Document |
Master's Thesis |
| Author |
Banerjee, Shankha
|
| URN |
etd-03162012-020243 |
| Title |
MPIOR: A Framework to Analyze File System Performance of MPI Applications |
| Degree |
Master of Science |
| Department |
Computer Science and Applications |
| Advisory Committee |
| Advisor Name |
Title |
| Varadarajan, Srinidhi |
Committee Chair |
| Ribbens, Calvin J. |
Committee Member |
| Tilevich, Eli |
Committee Member |
|
| Keywords |
|
| Date of Defense |
2012-02-17 |
| Availability |
unrestricted |
Abstract
MPI I/O replay (MPIOR) is an I/O performance modeling and prediction tool used to trace and replay a parallel application to determine application performance under a new I/O sub system. The trace collector deduces synchronization inter-dependencies between nodes and I/O demands placed by each node on the storage subsystem. It uses a novel runtime graph traversal technique to filter and log only those MPI calls that affect I/O, thus substantially reducing both the number of runs and the size of the trace file. Unlike other such tools, MPIOR collects a valid trace in a single run and it does not rely on node sampling or I/O sampling. MPIOR’s post processing engine analyzes the trace files and sets up the re-player. Due to minimal overhead for trace collection, MPIOR can be used during production runs rather than just as a debugging tool. The re-player mimics the behavior of the application across a variety of storage systems by mapping multiple processes to multiple threads running on a single node. We show average replay error for parallel applications is below 30%.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Banerjee_Shankha_T_2012.pdf |
419.35 Kb |
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