28 citations · 28 across the 1 of their papers we have counts for
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A Machine Learning Approach to Online Fault Classification in HPC Systems
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu +3
As High-Performance Computing (HPC) systems strive towards the exascale goal, failure rates both at the hardware and software levels will increase significantly. Thus, detecting an…
Online Fault Classification in HPC Systems through Machine Learning
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu +3
As High-Performance Computing (HPC) systems strive towards the exascale goal, studies suggest that they will experience excessive failure rates. For this reason, detecting and clas…
FINJ: A Fault Injection Tool for HPC Systems
Alessio Netti, Zeynep Kiziltan, Ozalp Babaoglu +3
We present FINJ, a high-level fault injection tool for High-Performance Computing (HPC) systems, with a focus on the management of complex experiments. FINJ provides support for cu…
Towards Operator-less Data Centers Through Data-Driven, Predictive, Proactive Autonomics
Alina Sîrbu, Ozalp Babaoglu
Continued reliance on human operators for managing data centers is a major impediment for them from ever reaching extreme dimensions. Large computer systems in general, and data ce…
Predicting System-level Power for a Hybrid Supercomputer
Alina Sîrbu, Ozalp Babaoglu
For current High Performance Computing systems to scale towards the holy grail of ExaFLOP performance, their power consumption has to be reduced by at least one order of magnitude.…
Towards Data-Driven Autonomics in Data Centers
Alina Sîrbu, Ozalp Babaoglu
Continued reliance on human operators for managing data centers is a major impediment for them from ever reaching extreme dimensions. Large computer systems in general, and data ce…