Paper Info
Title
Characterizing the Influence of System Noise on Large-Scale Applications by Simulation
Abstract
This paper presents an in-depth analysis of the impact of system noise on large-scale parallel application performance in realistic settings. Our analytical model shows that not only collective operations but also point-to-point communications influence the application's sensitivity to noise. We present a simulation toolchain that injects noise delays from traces gathered on common large-scale architectures into a LogGPS simulation and allows new insights into the scaling of applications in noisy environments. We investigate collective operations with up to 1 million processes and three applications (Sweep3D, AMG, and POP) with up to 32,000 processes.We show that the scale at which noise becomes a bottleneck is system-specific and depends on the structure of the noise. Simulations with different network speeds show that a 10x faster network does not improve application scalability. We quantify noise and conclude that our tools can be utilized to tune the noise signatures of a specific system.
Year
DOI
Venue
2010
10.1109/SC.2010.12
SC
Keywords
Field
DocType
common large-scale architecture,system noise,different network speed,application scalability,injects noise delay,large-scale applications,faster network,collective operation,large-scale parallel application performance,noise signature,loggps simulation,point to point,synchronization,noise,point to point communications,noise measurement,benchmark testing
Bottleneck,Synchronization,Noise measurement,Computer science,Parallel computing,Real-time computing,Point-to-point,Scaling,Toolchain,Benchmark (computing),Scalability
Conference
Citations 
PageRank 
References 
93
3.57
14
Authors
3
Name
Order
Citations
PageRank
Torsten Hoefler12197163.64
Timo Schneider231218.39
Andrew Lumsdaine32754236.74