Abstract
Developers of application codes for massively parallel computer systems face daunting performance tuning and optimization problems that must be solved if massively parallel systems are to fulfill their promise. Recording and analyzing the dynamics of application program, system software, and hardware interactions is the key to understanding and the prerequisite to performance tuning, but this instrumentation and analysis must not unduly perturb program execution. Pablo is a performance analysis environment designed to provide unobtrusive performance data capture, analysis, and presentation across a wide variety of scalable parallel systems. Current efforts include dynamic statistical clustering to reduce the volume of data that must be captured and complete performance data immersion via head-mounted displays.
Original language | English |
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Title of host publication | Proceedings of Scalable Parallel Libraries Conference, SPLC 1993 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 104-113 |
Number of pages | 10 |
ISBN (Electronic) | 0818649801, 9780818649806 |
DOIs | |
State | Published - 1993 |
Externally published | Yes |
Event | 1993 Scalable Parallel Libraries Conference, SPLC 1993 - Mississippi State, United States Duration: Oct 6 1993 → Oct 8 1993 |
Publication series
Name | Proceedings of Scalable Parallel Libraries Conference, SPLC 1993 |
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Conference
Conference | 1993 Scalable Parallel Libraries Conference, SPLC 1993 |
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Country/Territory | United States |
City | Mississippi State |
Period | 10/6/93 → 10/8/93 |
Funding
‘Supported in part by the Advanced Research Projects Agency under ARPA Contract No. DAVT63-91-C-0029, by the National Science Foundation under grants NSF IFU 92-12976 and NSF CDA87-22836, by the National Aeronautics and Space Administration under NASA Contract Number NAG-1-613, and by a collaborative research agreement with the Intel Supercomputer Systems Division.