Abstract
With increasing development of applications for heterogeneous, distributed computing grids, the focus of performance analysis has shifted from a posteriori optimization on homogeneous parallel systems to application tuning for heterogeneous resources with time varying availability. This shift has profound implications for performance instrumentation and analysis techniques. Autopilot is a new infrastructure for dynamic performance tuning of heterogeneous computational grids based on closed loop control. The paper describes the Autopilot model of distributed sensors, actuators, and decision procedures, reports preliminary performance benchmarks, and presents a case study in which the Autopilot library is utilized in the development of an adaptive parallel input/output system.
Original language | English |
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Title of host publication | Proceedings - 7th International Symposium on High Performance Distributed Computing, HPDC 1998 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 172-179 |
Number of pages | 8 |
ISBN (Electronic) | 0818685794, 9780818685798 |
DOIs | |
State | Published - 1998 |
Externally published | Yes |
Event | 7th IEEE International Symposium on High Performance Distributed Computing, HPDC 1998 - Chicago, United States Duration: Jul 31 1998 → … |
Publication series
Name | Proceedings - 7th International Symposium on High Performance Distributed Computing, HPDC 1998 |
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Volume | 1998-July |
Conference
Conference | 7th IEEE International Symposium on High Performance Distributed Computing, HPDC 1998 |
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Country/Territory | United States |
City | Chicago |
Period | 07/31/98 → … |
Funding
This work was supported in part by the Defense Advanced Research Projects Agency under DARPA contracts DABT63- 94-C0049 (SIO Initiative), F30602-96-C-0161, and DABT63-96- C-0027 by the National Science Foundation under grants NSF CDA 94-01124 and ASC 97-20202, and by the Department of Energy under contracts DOE B-341494, W-7405-ENG-48, and 1-B-333164.