World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
10839
World Ranking
2967
National Ranking
136

Research.com Recognitions

  • 2006 - ACM Gordon Bell Prize Large-scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform

Overview

Martin Schulz is affiliated with the Technical University of Munich in Germany and specializes in the field of Computer Science with a focus on various subfields such as Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems, and Signal Processing.

The research topics prominently addressed in their work include:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Cloud Computing and Resource Management
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Time Series Analysis and Forecasting

Martin Schulz has contributed to numerous publications and has been active in various research venues with frequent publications in:

  • arXiv (Cornell University)
  • Academy of Management Proceedings
  • Computing in Science & Engineering
  • IEEE Transactions on Parallel and Distributed Systems
  • Parallel Computing

Some of the recent papers authored or co-authored by Martin Schulz include:

  • "Accelerating HPC With Quantum Computing: It Is a Software Challenge Too," 2022, Computing in Science & Engineering
  • "Malleability in Modern HPC Systems: Current Experiences, Challenges, and Future Opportunities," 2024, IEEE Transactions on Parallel and Distributed Systems
  • "Workflows Community Summit 2022: A Roadmap Revolution," 2023, arXiv (Cornell University)
  • "Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments," 2022, Parallel Computing
  • "QMPI: A next generation MPI profiling interface for modern HPC platforms," 2020, Parallel Computing

Frequent co-authors collaborating with Martin Schulz include:

  • Martin Schreiber
  • Carsten Trinitis
  • D. M. Huber
  • Eishi Arima
  • Amir Raoofy

Martin Schulz has also contributed to book publications, notably with Springer Science+Business Media, including the title Architecture of Computing Systems published in 2022.

Among the awards received is the ACM Gordon Bell Prize awarded in 2006 for work titled "Large-scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform."

Best Publications

  • Adagio: making DVS practical for complex HPC applications

    Barry Rountree;David K. Lownenthal;Bronis R. de Supinski;Martin Schulz

  • Efficiently exploring architectural design spaces via predictive modeling

    Engin Ïpek;Sally A. McKee;Rich Caruana;Bronis R. de Supinski

  • Methods of inference and learning for performance modeling of parallel applications

    Benjamin C. Lee;David M. Brooks;Bronis R. de Supinski;Martin Schulz

  • Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application

    Ian Karlin;Abhinav Bhatele;Jeff Keasler;Bradford L. Chamberlain

  • Prediction models for multi-dimensional power-performance optimization on many cores

    Matthew Curtis-Maury;Ankur Shah;Filip Blagojevic;Dimitrios S. Nikolopoulos

  • A regression-based approach to scalability prediction

    Bradley J. Barnes;Barry Rountree;David K. Lowenthal;Jaxk Reeves

  • An approach to performance prediction for parallel applications

    Engin Ipek;Bronis R. de Supinski;Martin Schulz;Sally A. McKee

  • Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound

    Barry Rountree;Dong H. Ahn;Bronis R. de Supinski;David K. Lowenthal

  • Bounding energy consumption in large-scale MPI programs

    Barry Rountree;David K. Lowenthal;Shelby Funk;Vincent W. Freeh

  • Exploring hardware overprovisioning in power-constrained, high performance computing

    Tapasya Patki;David K. Lowenthal;Barry Rountree;Martin Schulz

  • Stack Trace Analysis for Large Scale Debugging

    D.C. Arnold;D.H. Ahn;B.R. de Supinski;G.L. Lee

  • Hybrid MPI/OpenMP power-aware computing

    Dong Li;Bronis R de Supinski;Martin Schulz;Kirk Cameron

  • XSBENCH - THE DEVELOPMENT AND VERIFICATION OF A PERFORMANCE ABSTRACTION FOR MONTE CARLO REACTOR ANALYSIS

    John R. Tramm;Andrew R. Siegel;Tanzima Islam;Martin Schulz

  • Application-level checkpointing for shared memory programs

    Greg Bronevetsky;Daniel Marques;Keshav Pingali;Peter Szwed

  • ScalaTrace: Scalable compression and replay of communication traces for high-performance computing

    Michael Noeth;Prasun Ratn;Frank Mueller;Martin Schulz

  • Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing

    Yuichi Inadomi;Tapasya Patki;Koji Inoue;Mutsumi Aoyagi

  • Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis

    Martin Schulz;Jim Galarowicz;Don Maghrak;William Hachfeld

  • OMPT: An OpenMP Tools Application Programming Interface for Performance Analysis

    Alexandre E. Eichenberger;John M. Mellor-Crummey;Martin Schulz;Michael Wong

  • A Run-Time System for Power-Constrained HPC Applications

    Aniruddha Marathe;Peter E. Bailey;David K. Lowenthal;Barry Rountree

  • Practical Resource Management in Power-Constrained, High Performance Computing

    Tapasya Patki;David K. Lowenthal;Anjana Sasidharan;Matthias Maiterth

  • ScalaTrace: Scalable Compression and Replay of Communication Traces for High Performance Computing

    M Noeth;P Ratn;F Mueller;M Schulz

Frequent Co-Authors

Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Abhinav Bhatele
Abhinav Bhatele University of Maryland, College Park
Peer-Timo Bremer
Peer-Timo Bremer Lawrence Livermore National Laboratory
Sally A. McKee
Sally A. McKee Chalmers University of Technology
Barton P. Miller
Barton P. Miller University of Wisconsin–Madison
Bernd Hamann
Bernd Hamann University of California, Davis
Frank Mueller
Frank Mueller North Carolina State University
Ganesh Gopalakrishnan
Ganesh Gopalakrishnan University of Utah
Valerio Pascucci
Valerio Pascucci University of Utah

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a computer science degree can open many doors, but students may also consider related online programs to broaden their career options. For those seeking to accelerate their studies, an accelerated computer science degree allows for faster completion, often ideal for motivated learners or working professionals.

There are also interdisciplinary fields to explore. An environmental engineering degree online merges technology with sustainability, offering roles in green tech and conservation. Similarly, the mechanical engineering degree cost is a key consideration for those interested in robotics or manufacturing. Affordable programs help reduce student debt while providing robust technical training.

Finally, for students with a passion for understanding the laws of nature, an online theoretical physics degree offers deep insights into scientific principles and modern technologies. Exploring these related degrees can expand your career pathways and equip you with diverse in-demand skills.

Best Scientists Citing Martin Schulz

Trending Scientists

Recently Published Articles