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Abstract: This paper presents a performance modeling methodology that is faster than traditional cycle-accurate simulation, more sophisticated than performance estimation based on system peak-performance metrics, and is shown to be effective on a class of High Performance Computing benchmarks. The method yields insight into the factors that affect performance on single-processor and parallel computers. (Update)
Context of citations to this paper: More
...Aggregate counts are frequently used in performance modeling to parame terize the models. For examples, the methodology described in [12] generates a machine signature which is a characterization of the rate at which a machine carries out fundamental operations...
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BibTeX entry: (Update)
A. Snavely, L. Carrington, and N. Wolter, "Modeling Application Performance by Convolving Machine Signatures with Application Profiles," Proc. IEEE Workshop on Workload Characterization, 2001. http://citeseer.ist.psu.edu/snavely01modeling.html More
@misc{ snavely01modeling,
author = "A. Snavely and L. Carrington and N. Wolter",
title = "Modeling Application Performance by Convolving Machine Signatures with
Application Profiles",
text = "A. Snavely, L. Carrington, and N. Wolter, Modeling Application Performance
by Convolving Machine Signatures with Application Profiles, Proc. IEEE Workshop
on Workload Characterization, 2001.",
year = "2001",
url = "citeseer.ist.psu.edu/snavely01modeling.html" }
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52 Converting Thread-Level Parallelism to Instruction-Level Par.. - Lo, Egger et al. - 1997
46 An API for Runtime Code Patching - Buck, Hollingsworth - 2000
25 SvPablo: A Multi-Language Performance Analysis System - DeRose, Zhang et al. - 1998
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10 Toward Realistic Performance Bounds for Implicit CFD Codes - Gropp, Kaushik et al. - 1999
9 FLASH vs. (Simulated) FLASH: Closing the Simulation Loop - Gibson, Kunz et al. - 2000
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