Michael Ott

Orcid: 0009-0007-0278-9497

Affiliations:
  • Leibniz Supercomputing Centre, Garching, Germany
  • TU Munich, Department of Computer Science, Garching, Germany (PhD 2010)


According to our database1, Michael Ott authored at least 23 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Driving HPC Operations With Holistic Monitoring and Operational Data Analytics (Dagstuhl Seminar 23171).
Dagstuhl Reports, 2023


Phase-aware System-Side Sampling for HPC.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022
Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments.
Parallel Comput., 2022

Always-on instrumentation for application introspection in HPC.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

A Conceptual Framework for HPC Operational Data Analytics.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Global Experiences with HPC Operational Data Measurement, Collection and Analysis.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
From facility to application sensor data: modular, continuous and holistic monitoring with DCDB.
Proceedings of the International Conference for High Performance Computing, 2019

2018
Best Practices in Energy-Efficient High Performance Computing.
Proceedings of the 48. Jahrestagung der Gesellschaft für Informatik, Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, INFORMATIK 2018, 2018

2017
A Novel Approach for Job Scheduling Optimizations Under Power Cap for ARM and Intel HPC Systems.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2011
autopin - Automated Optimization of Thread-to-Core Pinning on Multicore Systems.
Trans. High Perform. Embed. Archit. Compil., 2011

2010
Inference of large phylogenetic trees on parallel architectures.
PhD thesis, 2010

Automatic performance analysis with periscope.
Concurr. Comput. Pract. Exp., 2010

2009
Load Balance in the Phylogenetic Likelihood Kernel.
Proceedings of the ICPP 2009, 2009

2008
Large-scale phylogenetic analysis on current HPC architectures.
Sci. Program., 2008

Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

2007
Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

Latencies of Conflicting Writes on Contemporary Multicore Architectures.
Proceedings of the Parallel Computing Technologies, 2007

2005
DRAxML at home: a distributed program for computation of large phylogenetic trees.
Future Gener. Comput. Syst., 2005

RAxML-OMP: An Efficient Program for Phylogenetic Inference on SMPs.
Proceedings of the Parallel Computing Technologies, 2005

2003
DAxML: A Program for Distributed Computation of Phylogenetic Trees Based on Load Managed CORBA.
Proceedings of the Parallel Computing Technologies, 2003


  Loading...