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Author search results
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- Martin Schulz 0001
Technical University Munich, Germany - Martin Schulz 0002
German Graduate School of Management and Law - Martin Schulz 0003
RWTH Aachen, Department of Computer Science - Martin Schulz 0004
University of British Columbia, Faculty of Commerce & Business Administration - Martin Schulz 0005
science + computing ag - show all
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- Martin Schulze
- Martin Schulz 0006
Infineon Technologies, Warstein, German
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Publication search results
found 746 matches
- 2024
- Jesús Carretero, Estela Suarez, Martin Schulz:
Malleability techniques applications in high-performance computing. Int. J. High Perform. Comput. Appl. 38(2): 53-54 (2024) - Daniele Dall'Olio, J. Eric Sträng, Amin T. Turki, Jesse M. Tettero, Martje Barbus, Renate Schulze-Rath, Javier Martinez Elicegui, Tommaso Matteuzzi, Alessandra Merlotti, Luciana Carota, Claudia Sala, Matteo G. Della Porta, Enrico Giampieri, Jesús María Hernández-Rivas, Lars Bullinger, Gastone C. Castellani:
Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology. PLoS Comput. Biol. 20(2) (2024) - Ahmad Tarraf, Martin Schreiber, Alberto Cascajo, Jean-Baptiste Besnard, Marc-André Vef, Dominik Huber, Sonja Happ, André Brinkmann, David E. Singh, Hans-Christian Hoppe, Alberto Miranda, Antonio J. Peña, Rui Machado, Marta Garcia-Gasulla, Martin Schulz, Paul M. Carpenter, Simon Pickartz, Tiberiu Rotaru, Sergio Iserte, Víctor López, Jorge Ejarque, Heena Sirwani, Jesús Carretero, Felix Wolf:
Malleability in Modern HPC Systems: Current Experiences, Challenges, and Future Opportunities. IEEE Trans. Parallel Distributed Syst. 35(9): 1551-1564 (2024) - Philipp Friese, Martin Schulz:
Exploring the ARM Coherent Mesh Network Topology. ARCS 2024: 221-235 - Martin Schulz, Hossam Ahmed, Xiaolong Deng, Jorge Echavarria, Mathias Gammelmark, Sven Karlsson, Ercüment Kaya, Michal Reznak, Laura Brandon Schulz, Matthew Tovey:
From the Physics Lab to the Computer Lab: Towards Flexible and Comprehensive DevOps for Quantum Computing. CF (Companion) 2024 - Martin Schulz, Michael Pehl, Carsten Trinitis:
The European Chips Act and its Impact on Teaching. CF (Companion) 2024 - Jakob Schäffeler, Bengisu Elis, Amir Raoofy, Josef Weidendorfer, Martin Schulz:
A Portable Tool to Compare Performance Profiles from GPU Offloading Programming Models. CF 2024 - Alberto Barrón-Cedeño, Firoj Alam, Julia Maria Struß, Preslav Nakov, Tanmoy Chakraborty, Tamer Elsayed, Piotr Przybyla, Tommaso Caselli, Giovanni Da San Martino, Fatima Haouari, Maram Hasanain, Chengkai Li, Jakub Piskorski, Federico Ruggeri, Xingyi Song, Reem Suwaileh:
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. CLEF (2) 2024: 28-52 - Kajal Patel, Zubair Shafiq, Mateus Schulz Nogueira, Daniel Sadoc Menasché, Enrico Lovat, Taimur Kashif, Ashton Woiwood, Matheus Martins:
Harnessing TI Feeds for Exploitation Detection. CSR 2024: 200-207 - Bengisu Elis, David Böhme, Olga Pearce, Martin Schulz:
A Mechanism to Generate Interception Based Tools for HPC Libraries. Euro-Par (1) 2024: 107-120 - Bengisu Elis, Olga Pearce, David Böhme, Jason Burmark, Martin Schulz:
Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism. HPC Asia 2024: 1-11 - Maron Schlemon, Martin Schulz, Rolf Scheiber, Marc Jäger, Joel A. Amao Oliva:
Real-Time Capability of DLR'S Beamforming Synthetic Aperture Radar Processing Architecture. ICASSP Workshops 2024: 814-817 - Stepan Vanecek, Martin Schulz:
sys-sage: A Unified Representation of Dynamic Topologies & Attributes on HPC Systems. ICS 2024: 363-375 - Stefan Schulz, Catalina Martínez Costa:
'SNOMEDizing' Questionnaires for Standardizing Stroke Registry Data. MIE 2024: 1453-1457 - Vincent Bode, Carsten Trinitis, Martin Schulz, David Buettner, Tobias Preclik:
Adopting User-Space Networking for DDS Message-Oriented Middleware. PerCom 2024: 36-46 - Eva Krebs, Toni Mattis, Marius Dörbandt, Oliver Schulz, Martin C. Rinard, Robert Hirschfeld:
Implementing Babylonian/G by Putting Examples into Game Contexts. Programming 2024 - Yi Ju, Dominik Huber, Adalberto Perez, Philipp Ulbl, Stefano Markidis, Philipp Schlatter, Martin Schulz, Martin Schreiber, Erwin Laure:
Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions. EuroMPI 2024: 105-120 - Xiaolong Deng, Stefan Pogorzalek, Florian Vigneau, Ping Yang, Martin Schulz, Laura Brandon Schulz:
Calibration and Performance Evaluation of a Superconducting Quantum Processor in an HPC Center. ISC 2024: 1-9 - David Hildenbrand, Martin Schulz, Nadav Amit:
Every Mapping Counts in Large Amounts: Folio Accounting. USENIX ATC 2024: 1273-1282 - Jonathan Fischer, Martin Schulze, Paul Rosenthal, Lars Linsen:
Particle-Wise Higher-Order SPH Field Approximation for DVR. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 717-725 - Jonathan Fischer, Martin Schulze, Paul Rosenthal, Lars Linsen:
Particle-Wise Higher-Order SPH Field Approximation for DVR. CoRR abs/2401.02896 (2024) - Martina Forster, Claudia Schulz, Prudhvi Nokku, Melicaalsadat Mirsafian, Jaykumar Kasundra, Stavroula Skylaki:
The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines. CoRR abs/2401.11852 (2024) - Dominik Huber, Martin Schreiber, Martin Schulz, Howard Pritchard, Daniel J. Holmes:
Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models. CoRR abs/2403.17107 (2024) - Issa Saba, Eishi Arima, Dai Liu, Martin Schulz:
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. CoRR abs/2405.03831 (2024) - Eishi Arima, Minjoon Kang, Issa Saba, Josef Weidendorfer, Carsten Trinitis, Martin Schulz:
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps. CoRR abs/2405.03838 (2024) - Eishi Arima, Isaías A. Comprés, Martin Schulz:
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. CoRR abs/2405.03847 (2024) - Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz:
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CoRR abs/2405.08754 (2024) - Nikol Figalová, Hans-Joachim Bieg, Michael Schulz, Jürgen Pichen, Martin Baumann, Lewis L. Chuang, Olga Pollatos:
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track. CoRR abs/2405.18114 (2024) - Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz:
Dataset Distillation by Automatic Training Trajectories. CoRR abs/2407.14245 (2024) - Amr Elsharkawy, Xiaorang Guo, Martin Schulz:
Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform. CoRR abs/2407.18527 (2024)
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