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Predictive Performance Modeling for Distributed Computing using
  Black-Box Monitoring and Machine Learning

Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning

30 May 2018
Carl Witt
M. Bux
Wladislaw Gusew
Ulf Leser
ArXivPDFHTML

Papers citing "Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning"

5 / 5 papers shown
Title
Helping HPC Users Specify Job Memory Requirements via Machine Learning
Helping HPC Users Specify Job Memory Requirements via Machine Learning
Eduardo Rodrigues
Renato Luiz de Freitas Cunha
M. Netto
Michael Spriggs
22
34
0
09 Nov 2016
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid
  Clouds
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds
Renato Luiz de Freitas Cunha
Eduardo Rodrigues
Leonardo P. Tizzei
M. Netto
31
38
0
22 Aug 2016
Algorithm Runtime Prediction: Methods & Evaluation
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter
Lin Xu
Holger H. Hoos
Kevin Leyton-Brown
68
419
0
05 Nov 2012
LIKWID: A lightweight performance-oriented tool suite for x86 multicore
  environments
LIKWID: A lightweight performance-oriented tool suite for x86 multicore environments
Jan Treibig
G. Hager
G. Wellein
96
548
0
26 Apr 2010
Cloud Computing and Grid Computing 360-Degree Compared
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster
Yong Zhao
I. Raicu
Shiyong Lu
112
3,381
0
31 Dec 2008
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