Proceedings of the 1st ACM workshop on Large-Scale system and application performance - LSAP '09

2009 ◽  
2005 ◽  
Vol 15 (04) ◽  
pp. 387-395 ◽  
Author(s):  
DARREN J. KERBYSON ◽  
ADOLFY HOISIE ◽  
HARVEY J. WASSERMAN

In this paper we describe an important use of predictive application performance modeling - the validation of measured performance during a new large-scale system installation. Using a previously-developed and validated performance model for SAGE, a multidimensional, 3D, multi-material hydrodynamics code with adaptive mesh refinement, we were able to help guide the stabilization of the first phase of the Los Alamos ASCI Q supercomputer. We review the salient features of an analytical model for this code that has been applied to predict its performance on a large class of Tera-scale parallel systems. We describe the methodology applied during system installation and upgrades to establish a baseline for the achievable "real" performance of the system. We also show the effect on overall application performance of certain key subsystems such as PCI bus speed and multi-rail networks. We show that utilization of predictive performance models is also a powerful system debugging tool.


2008 ◽  
Author(s):  
Steven M. Bellovin ◽  
Salvatore J. Stolfo ◽  
Angelos D. Keromytis

Author(s):  
Christopher J. Hambley ◽  
Andrew R. Mills ◽  
Visakan Kadirkamanathan ◽  
Tony J. Dodd ◽  
William Bradley ◽  
...  

2021 ◽  
Author(s):  
Fred Lin ◽  
Bhargav Bolla ◽  
Eric Pinkham ◽  
Neil Kodner ◽  
Daniel Moore ◽  
...  

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