Michael Ott

28 papers A 4B 4C 2Misc 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations.
CoRR
Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto
2023 — conf
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations.
CLUSTER Workshops
Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto
2023 J jnl
Driving HPC Operations With Holistic Monitoring and Operational Data Analytics (Dagstuhl Seminar 23171).
Dagstuhl Reports
Jim M. Brandt, Florina M. Ciorba, Ann C. Gentile, Michael Ott, Torsten Wilde
2023 — conf
Phase-aware System-Side Sampling for HPC.
CF
Julian Scheipl, Amir Raoofy, Michael Ott, Josef Weidendorfer
2022 — conf
Always-on instrumentation for application introspection in HPC.
CF
Amir Raoofy, Josef Weidendorfer, Michael Ott
2022 J jnl
Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments.
Parallel Comput.
Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz
2021 C conf
A Conceptual Framework for HPC Operational Data Analytics.
CLUSTER
Alessio Netti, Woong Shin, Michael Ott, Torsten Wilde, Natalie J. Bates
2021 A conf
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data.
IPDPS
Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz
2021 J jnl
Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments.
CoRR
Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz
2020 J jnl
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data.
CoRR
Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz
2020 A conf
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems.
HPDC
Alessio Netti, Micha Müller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz
2020 C conf
Global Experiences with HPC Operational Data Measurement, Collection and Analysis.
CLUSTER
Michael Ott, Woong Shin, Norman Bourassa, Torsten Wilde, Stefan Ceballos, Melissa Romanus, Natalie J. Bates
2019 J jnl
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems.
CoRR
Alessio Netti, Micha Mueller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz
2019 J jnl
From Facility to Application Sensor Data: Modular, Continuous and Holistic Monitoring with DCDB.
CoRR
Alessio Netti, Micha Mueller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz
2019 A conf
From facility to application sensor data: modular, continuous and holistic monitoring with DCDB.
SC
Alessio Netti, Micha Müller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz
2018 — conf
Best Practices in Energy-Efficient High Performance Computing.
GI-Jahrestagung (Workshops)
Michael Ott, Dieter Kranzlmüller
2017 Misc conf
A Novel Approach for Job Scheduling Optimizations Under Power Cap for ARM and Intel HPC Systems.
HiPC
Dineshkumar Rajagopal, Daniele Tafani, Yiannis Georgiou, David Glesser, Michael Ott
2011 J jnl
autopin - Automated Optimization of Thread-to-Core Pinning on Multicore Systems.
Trans. High Perform. Embed. Archit. Compil.
Tobias Klug, Michael Ott, Josef Weidendorfer, Carsten Trinitis
2010 J jnl
Automatic performance analysis with periscope.
Concurr. Comput. Pract. Exp.
Michael Gerndt, Michael Ott
2010 — —
Inference of large phylogenetic trees on parallel architectures.
Michael Ott
2009 B conf
Load Balance in the Phylogenetic Likelihood Kernel.
ICPP
Alexandros Stamatakis, Michael Ott
2008 — conf
Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study.
PRIB
Alexandros Stamatakis, Michael Ott
2008 J jnl
Large-scale phylogenetic analysis on current HPC architectures.
Sci. Program.
Michael Ott, Jaroslaw Zola, Srinivas Aluru, Andrew D. Johnson, Daniel Janies, Alexandros Stamatakis
2007 A conf
Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L.
SC
Michael Ott, Jaroslaw Zola, Alexandros Stamatakis, Srinivas Aluru
2007 B conf
Latencies of Conflicting Writes on Contemporary Multicore Architectures.
PaCT
Josef Weidendorfer, Michael Ott, Tobias Klug, Carsten Trinitis
2005 J jnl
DRAxML at home: a distributed program for computation of large phylogenetic trees.
Future Gener. Comput. Syst.
Alexandros Stamatakis, Markus Lindermeier, Michael Ott, Thomas Ludwig, Harald Meier
2005 B conf
RAxML-OMP: An Efficient Program for Phylogenetic Inference on SMPs.
PaCT
Alexandros Stamatakis, Michael Ott, Thomas Ludwig
2003 B conf
DAxML: A Program for Distributed Computation of Phylogenetic Trees Based on Load Managed CORBA.
PaCT
Alexandros Stamatakis, Markus Lindermeier, Michael Ott, Thomas Ludwig, Harald Meier