Michael Knobloch

Orcid: 0000-0003-3116-4393

According to our database1, Michael Knobloch authored at least 21 papers between 2010 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
A Shim Layer for Transparently Adding Meta Data to MPI Handles.
Proceedings of the 30th European MPI Users' Group Meeting, 2023

2022
Early Experiences of Noise-Sensitivity Performance Analysis of a Distributed Deep Learning Framework.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2020
Tools for GPU Computing - Debugging and Performance Analysis of Heterogenous HPC Applications.
Supercomput. Front. Innov., 2020

2019
The MPI_T events interface: An early evaluation and overview of the interface.
Parallel Comput., 2019

Using performance analysis tools for parallel-in-time integrators - Does my time-parallel code do what I think it does?
CoRR, 2019

2018
Enabling callback-driven runtime introspection via MPI_T.
Proceedings of the 25th European MPI Users' Group Meeting, 2018

2015
Cube v4: From Performance Report Explorer to Performance Analysis Tool.
Proceedings of the International Conference on Computational Science, 2015

How Many Threads will be too Many? On the Scalability of OpenMP Implementations.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015

2014
Tools and methods for measuring and tuning the energy efficiency of HPC systems.
Sci. Program., 2014

Mapping fine-grained power measurements to HPC application runtime characteristics on IBM POWER7.
Comput. Sci. Res. Dev., 2014

Modeling CPU Energy Consumption of HPC Applications on the IBM POWER7.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Performance Measurement and Analysis of Transactional Memory and Speculative Execution on IBM Blue Gene/Q.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

2013
Early experiences with scientific applications on the IBM Blue Gene/Q supercomputer.
IBM J. Res. Dev., 2013

Energy-Aware High Performance Computing - A Survey.
Adv. Comput., 2013

Characterizing Performance of Applications on Blue Gene/Q.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2012
Tool Environments to Measure Power Consumption and Computational Performance.
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

Determine energy-saving potential in wait-states of large-scale parallel programs.
Comput. Sci. Res. Dev., 2012

Measuring power consumption on IBM Blue Gene/P.
Comput. Sci. Res. Dev., 2012

2011
Electronic poster: eeclust: energy-efficient cluster computing.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Managing hardware power saving modes for high performance computing.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2010
eeClust: Energy-Efficient Cluster Computing.
Proceedings of the Competence in High Performance Computing 2010, 2010


  Loading...