Martin Schulz

Martin Schulz

Technische Universität München

H-index: 64

Europe-Germany

About Martin Schulz

Martin Schulz, With an exceptional h-index of 64 and a recent h-index of 34 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Architecture and Parallel Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sarcomp-A High-Performance Library for SAR Processing

BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators

Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models

Adopting User-Space Networking for DDS Message-Oriented Middleware

Malleability techniques applications in high-performance computing

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

Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining

DDS Implementations as Real-Time Middleware–A Systematic Evaluation

Martin Schulz Information

University

Position

___

Citations(all)

12671

Citations(since 2020)

4354

Cited By

10352

hIndex(all)

64

hIndex(since 2020)

34

i10Index(all)

203

i10Index(since 2020)

114

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Martin Schulz Skills & Research Interests

Computer Architecture and Parallel Systems

Top articles of Martin Schulz

Title

Journal

Author(s)

Publication Date

Sarcomp-A High-Performance Library for SAR Processing

Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

Maron Schlemon

Martin Schulz

Rolf Scheiber

Bengisu Elis

Marc Jäger

2024

BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators

Journal of Computational Science

Amir Raoofy

Bengisu Elis

Vincent Bode

Minh Thanh Chung

Sergej Breiter

...

2024

Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models

arXiv preprint arXiv:2403.17107

Dominik Huber

Martin Schreiber

Martin Schulz

Howard Pritchard

Daniel Holmes

2024/3/25

Adopting User-Space Networking for DDS Message-Oriented Middleware

Vincent Bode

Carsten Trinitis

Martin Schulz

David Buettner

Tobias Preclik

2024/3/11

Malleability techniques applications in high-performance computing

Jesus Carretero

Estela Suarez

Martin Schulz

2024/3

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

Bengisu Elis

Olga Pearce

David Boehme

Jason Burmark

Martin Schulz

2024/1/18

Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining

Amir Raoofy

Roman Karlstetter

Martin Schreiber

Carsten Trinitis

Martin Schulz

2023/5/10

DDS Implementations as Real-Time Middleware–A Systematic Evaluation

Vincent Bode

Carsten Trinitis

Martin Schulz

David Buettner

Tobias Preclik

2023/8/30

Towards the Munich Quantum Software Stack: Enabling Efficient Access and Tool Support for Quantum Computers

Martin Schulz

Laura Schulz

Martin Ruefenacht

Robert Wille

2023/9/17

Quantum Task Offloading with the OpenMP API

arXiv preprint arXiv:2311.03210

Joseph KL Lee

Oliver T Brown

Mark Bull

Martin Ruefenacht

Johannes Doerfert

...

2023/11/6

Realistic Neutral Atom Image Simulation

Jonas Winklmann

Dimitrios Tsevas

Martin Schulz

2023/9/17

Real-Time Capability of Dlr's Beamforming Synthetic Aperture Radar Processing Architecture

Maron Schlemon

Martin Schulz

Rolf Scheiber

Marc Jäger

Joel Amao Oliva

2023/7/16

Workflows community summit 2022: A roadmap revolution

Rafael Ferreira Da Silva

Rosa Badia

Venkat Bala

Deborah Bard

Peer-Timo Bremer

...

2023/3/1

HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits

Xiaorang Guo

Kun Qin

Martin Schulz

2023/11/6

GreenCourier: Carbon-Aware Scheduling for Serverless Functions

Mohak Chadha

Thandayuthapani Subramanian

Eishi Arima

Michael Gerndt

Martin Schulz

...

2023/12/11

Toward a Unified Hybrid HPCQC Toolchain

Philipp Seitz

Amr Elsharkawy

Xiao-Ting Michelle To

Martin Schulz

2023/9/17

Federated learning via decentralized dataset distillation in resource-constrained edge environments

Rui Song

Dai Liu

Dave Zhenyu Chen

Andreas Festag

Carsten Trinitis

...

2023/6/18

Copy-on-Pin: The Missing Piece for Correct Copy-on-Write

David Hildenbrand

Martin Schulz

Nadav Amit

2023/1/27

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach

Urvij Saroliya

Eishi Arima

Dai Liu

Martin Schulz

2023/10/31

Systematic Analysis of DDS Implementations

Vincent Bode

David Buettner

Tobias Preclik

Carsten Trinitis

Martin Schulz

2023/11/27

See List of Professors in Martin Schulz University(Technische Universität München)