David Böhme

According to our database, David Böhme authored at least 37 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MPI Implementation Profiling for Better Application Performance.

Riley Shipley, Garrett Hooten, David Böhme, Derek Schafer, Anthony Skjellum, Olga Pearce

CoRR, 2024

Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems.

Ian Lumsden, Hariharan Devarajan, Jack Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism.

Bengisu Elis, Olga Pearce, David Böhme, Jason Burmark, Martin Schulz

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2024

A Mechanism to Generate Interception Based Tools for HPC Libraries.

Bengisu Elis, David Böhme, Olga Pearce, Martin Schulz

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees.

Stephanie Brink, Michael McKinsey, David Böhme, Connor Scully-Allison, Ian Lumsden, W. Daryl Hawkins, Treece Burgess, Vanessa Lama, Jakob Lüttgau, Katherine E. Isaacs, Michela Taufer, Olga Pearce

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2021

Ubiquitous Performance Analysis.

David Böhme, Pascal Aschwanden, Olga Pearce, Kenneth Weiss, Matthew P. LeGendre

Proceedings of the High Performance Computing - 36th International Conference, 2021

Did the GPU obfuscate the load imbalance in my MPI simulation?

David Eberius, David Böhme, Olga Pearce

Proceedings of the IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing, 2021

2020

CodeSeer: input-dependent code variants selection via machine learning.

Tao Wang, Nikhil Jain, David Böhme, David Beckingsale, Frank Mueller, Todd Gamblin

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

The Case for a Common Instrumentation Interface for HPC Codes.

David Böhme, Kevin A. Huck, Jonathan Madsen, Josef Weidendorfer

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation.

Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P with manually annotated iterations.

Brian J. N. Wylie, Markus Geimer, Bernd Mohr, David Böhme, Zoltán Szebenyi, Felix Wolf

Dataset, August, 2018

Scalasca analysis report of the ASCI Sweep3D benchmark on 65,536 processes in virtual-node mode on IBM Blue Gene/P.

Brian J. N. Wylie, Markus Geimer, Bernd Mohr, David Böhme, Zoltán Szebenyi, Felix Wolf

Dataset, April, 2018

Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P.

Brian J. N. Wylie, Markus Geimer, Bernd Mohr, David Böhme, Zoltán Szebenyi, Felix Wolf

Dataset, April, 2018

Scalasca analysis report for SPEC MPI.2007 benchmark 132.zeump2 on 512 processes in virtual-node mode on Blue Gene/P.

David Böhme, Markus Geimer, Felix Wolf, Lukas Arnold

Dataset, April, 2018

Visual Analytics Challenges in Analyzing Calling Context Trees.

Alexandre Bergel, Abhinav Bhatele, David Böhme, Patrick Gralka, Kevin S. Griffin, Marc-André Hermanns, Dusan Okanovic, Olga Pearce, Tom Vierjahn

Proceedings of the Programming and Performance Visualization Tools, 2018

2017

Predicting the performance impact of different fat-tree configurations.

Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger

Proceedings of the International Conference for High Performance Computing, 2017

Flexible Data Aggregation for Performance Profiling.

David Böhme, David Beckingsale, Martin Schulz

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Identifying the Root Causes of Wait States in Large-Scale Parallel Applications.

David Böhme, Markus Geimer, Lukas Arnold, Felix Voigtländer, Felix Wolf

ACM Trans. Parallel Comput., 2016

VIPACT: A Visualization Interface for Analyzing Calling Context Trees.

Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer

Proceedings of the Third Workshop on Visual Performance Analysis, 2016

Caliper: performance introspection for HPC software stacks.

David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2016

HIPS Introduction and Committees.

David Böhme, Xu Liu

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Recovering logical structure from Charm++ event traces.

Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

Proceedings of the International Conference for High Performance Computing, 2015

2014

Characterizing Load and Communication Imbalance in Parallel Applications.

David Böhme

PhD thesis, 2014

Catching Idlers with Ease: A Lightweight Wait-State Profiler for MPI Programs.

Guoyong Mao, David Böhme, Marc-André Hermanns, Markus Geimer, Daniel Lorenz, Felix Wolf

Proceedings of the 21st European MPI Users' Group Meeting, 2014

2013

Understanding the formation of wait states in applications with one-sided communication.

Marc-André Hermanns, Manfred Miklosch, David Böhme, Felix Wolf

Proceedings of the 20th European MPI Users's Group Meeting, 2013

2012

Extending Scalasca's Analysis Features.

Daniel Lorenz, David Böhme, Bernd Mohr, Alexandre Strube, Zoltán Szebenyi

Proceedings of the Tools for High Performance Computing 2012, 2012

Scalable Critical-Path Based Performance Analysis.

David Böhme, Felix Wolf, Bronis R. de Supinski, Martin Schulz, Markus Geimer

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Characterizing Load and Communication Imbalance in Large-Scale Parallel Applications.

David Böhme, Felix Wolf, Markus Geimer

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011

Scalasca.

David Böhme, Marc-André Hermanns, Felix Wolf

Proceedings of the Entwicklung und Evolution von Forschungssoftware: Tagungsband des Workshops, 2011

2010

Large-Scale Performance Analysis of Sweep3D with the Scalasca Toolset.

Brian J. N. Wylie, Markus Geimer, Bernd Mohr, David Böhme, Zoltán Szebenyi, Felix Wolf

Parallel Process. Lett., 2010

Performance analysis of Sweep3D on Blue Gene/P with the Scalasca toolset.

Brian J. N. Wylie, David Böhme, Bernd Mohr, Zoltán Szebenyi, Felix Wolf

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Identifying the Root Causes of Wait States in Large-Scale Parallel Applications.

David Böhme, Markus Geimer, Felix Wolf, Lukas Arnold

Proceedings of the 39th International Conference on Parallel Processing, 2010

2009

Parallel software for retrieval of aerosol distribution from LIDAR data in the framework of EARLINET-ASOS.

Lukas Osterloh, Carlos Pérez, David Böhme, José María Baldasano, Christine Böckmann, Lars Schneidenbach, David Vicente

Comput. Phys. Commun., 2009

Recent Developments in the Scalasca Toolset.

Markus Geimer, Felix Wolf, Brian J. N. Wylie, Daniel Becker, David Böhme, Wolfgang Frings, Marc-André Hermanns, Bernd Mohr, Zoltán Szebenyi

Proceedings of the Tools for High Performance Computing 2009, 2009

Performance Simulation of Non-blocking Communication in Message-Passing Applications.

David Böhme, Marc-André Hermanns, Markus Geimer, Felix Wolf

Proceedings of the Euro-Par 2009, 2009

2008

Performance Issues of Synchronisation in the MPI-2 One-Sided Communication API.

Lars Schneidenbach, David Böhme, Bettina Schnor

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2008