default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMartin Schulz 0001
Person information
- affiliation: Technical University Munich, Germany
- affiliation (former): Lawrence Livermore National Laboratory, Computer Science Group
Other persons with the same name
- 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 (and 1 more)
- Martin Schulz 0006 — Infineon Technologies, Warstein, German
- Martin Schulz 0007 — Philipps-Universität Marburg, Faculty of Geography, Marburg, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j45]Jesús Carretero, Estela Suarez, Martin Schulz
:
Malleability techniques applications in high-performance computing. Int. J. High Perform. Comput. Appl. 38(2): 53-54 (2024)- [j44]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) - [c262]Philipp Friese, Martin Schulz:
Exploring the ARM Coherent Mesh Network Topology. ARCS 2024: 221-235 - [c261]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 - [c260]Martin Schulz, Michael Pehl, Carsten Trinitis:
The European Chips Act and its Impact on Teaching. CF (Companion) 2024 - [c259]Jakob Schäffeler, Bengisu Elis, Amir Raoofy, Josef Weidendorfer, Martin Schulz:
A Portable Tool to Compare Performance Profiles from GPU Offloading Programming Models. CF 2024 - [c258]Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. CLUSTER 2024: 27-38 - [c257]Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz:
Dataset Distillation by Automatic Training Trajectories. ECCV (87) 2024: 334-351 - [c256]Bengisu Elis, David Böhme, Olga Pearce, Martin Schulz:
A Mechanism to Generate Interception Based Tools for HPC Libraries. Euro-Par (1) 2024: 107-120 - [c255]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 - [c254]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 - [c253]Stepan Vanecek, Martin Schulz:
sys-sage: A Unified Representation of Dynamic Topologies & Attributes on HPC Systems. ICS 2024: 363-375 - [c252]Vincent Bode, Carsten Trinitis, Martin Schulz, David Buettner, Tobias Preclik:
Adopting User-Space Networking for DDS Message-Oriented Middleware. PerCom 2024: 36-46 - [c251]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 - [c250]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 - [c249]David Hildenbrand, Martin Schulz, Nadav Amit:
Every Mapping Counts in Large Amounts: Folio Accounting. USENIX ATC 2024: 1273-1282 - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz:
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CoRR abs/2405.08754 (2024) - [i23]Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz:
Dataset Distillation by Automatic Training Trajectories. CoRR abs/2407.14245 (2024) - [i22]Amr Elsharkawy, Xiaorang Guo, Martin Schulz:
Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform. CoRR abs/2407.18527 (2024) - [i21]Jonas Winklmann, Andrea Alberti, Martin Schulz:
Comparison of Atom Detection Algorithms for Neutral Atom Quantum Computing. CoRR abs/2409.16856 (2024) - [i20]Ivy Peng, Martin Schulz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Araújo de Medeiros, Philipp Friese, Stefano Markidis:
OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. CoRR abs/2410.10423 (2024) - [i19]Xiaorang Guo, Jonas Winklmann, Dirk Stober, Amr Elsharkawy, Martin Schulz:
Design of an FPGA-Based Neutral Atom Rearrangement Accelerator for Quantum Computing. CoRR abs/2411.12401 (2024) - 2023
- [c248]David Hildenbrand, Martin Schulz, Nadav Amit:
Copy-on-Pin: The Missing Piece for Correct Copy-on-Write. ASPLOS (2) 2023: 176-191 - [c247]Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz:
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CLUSTER 2023: 185-196 - [c246]Ivy Peng, Martin Schulz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Medeiros, Philipp Friese, Stefano Markidis:
OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. Euro-Par Workshops 2023: 260-264 - [c245]Xiaorang Guo, Martin Schulz:
A Scalable and Cross-Technology Quantum Control Processor. FPL 2023: 353-354 - [c244]Xiaorang Guo, Kun Qin, Martin Schulz:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. ICCD 2023: 86-93 - [c243]Maron Schlemon, Martin Schulz, Rolf Scheiber, Marc Jäger, Joel A. Amao Oliva:
Real-Time Capability of Dlr's Beamforming Synthetic Aperture Radar Processing Architecture. IGARSS 2023: 8351-8354 - [c242]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. IJCNN 2023: 1-10 - [c241]Vincent Bode, David Buettner, Tobias Preclik, Carsten Trinitis, Martin Schulz:
Systematic Analysis of DDS Implementations. Middleware 2023: 234-246 - [c240]Philipp Seitz, Amr Elsharkawy, Xiao-Ting Michelle To, Martin Schulz:
Toward a Unified Hybrid HPCQC Toolchain. QCE 2023: 96-102 - [c239]Hossam Ahmed, Xiaolong Deng, Helmut Heller, Carla Guillén, Asim Zulfiqar, Martin Ruefenacht, Amit Jamadagni, Matthew Tovey, Martin Schulz, Laura Brandon Schulz:
Quantum Computer Metrics and HPC Center Environmental Sensor Data Analysis Towards Fidelity Prediction. QCE 2023: 154-160 - [c238]Martin Schulz, Laura Brandon Schulz, Martin Ruefenacht, Robert Wille:
Towards the Munich Quantum Software Stack: Enabling Efficient Access and Tool Support for Quantum Computers. QCE 2023: 399-400 - [c237]Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz, Yanbin Chen, Yannick Stade, Manuel Geiger, Qunsheng Huang, Xiaorang Guo, Muhammad Arslan Ansari, Martin Ruefenacht, Laura Brandon Schulz, Sven Karlsson, Christian B. Mendl, Dieter Kranzlmüller, Martin Schulz:
Challenges in HPCQC Integration. QCE 2023: 405-406 - [c236]Jonas Winklmann, Dimitrios Tsevas, Martin Schulz:
Realistic Neutral Atom Image Simulation. QCE 2023: 1349-1359 - [c235]Vincent Bode, Carsten Trinitis, Martin Schulz, David Buettner, Tobias Preclik:
DDS Implementations as Real-Time Middleware - A Systematic Evaluation. RTCSA 2023: 186-195 - [c234]Soumya Sen, Stepan Vanecek, Martin Schulz:
GPUscout: Locating Data Movement-related Bottlenecks on GPUs. SC Workshops 2023: 1392-1402 - [c233]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c232]Dominik Huber, Martin Schreiber, Martin Schulz:
A Case Study on PMIx-Usage for Dynamic Resource Management. ISC Workshops 2023: 42-55 - [c231]Isaías Comprés, Eishi Arima, Martin Schulz, Tiberiu Rotaru, Rui Machado:
Probabilistic Job History Conversion and Performance Model Generation for Malleable Scheduling Simulations. ISC Workshops 2023: 82-94 - [c230]Amir Raoofy, Roman Karlstetter, Martin Schreiber, Carsten Trinitis, Martin Schulz:
Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining. ISC 2023: 317-338 - [c229]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. WOSC@Middleware 2023: 18-23 - [i18]Xiaorang Guo, Kun Qin, Martin Schulz:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. CoRR abs/2308.16776 (2023) - [i17]Philipp Seitz, Amr Elsharkawy, Xiao-Ting Michelle To, Martin Schulz:
Toward a Unified Hybrid HPCQC Toolchain. CoRR abs/2309.01661 (2023) - [i16]Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz, Yanbin Chen, Yannick Stade, Manuel Geiger, Qunsheng Huang, Xiaorang Guo, Muhammad Arslan Ansari, Christian B. Mendl, Dieter Kranzlmüller, Martin Schulz:
Integration of Quantum Accelerators with High Performance Computing - A Review of Quantum Programming Tools. CoRR abs/2309.06167 (2023) - [i15]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. CoRR abs/2309.13473 (2023) - [i14]Jonas Winklmann, Dimitrios Tsevas, Martin Schulz:
Realistic Neutral Atom Image Simulation. CoRR abs/2310.02836 (2023) - [i13]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. CoRR abs/2310.20375 (2023) - [i12]Joseph K. L. Lee, Oliver T. Brown, Mark Bull, Martin Ruefenacht, Johannes Doerfert, Michael Klemm, Martin Schulz:
Quantum Task Offloading with the OpenMP API. CoRR abs/2311.03210 (2023) - 2022
- [j43]Martin Schulz, Martin Ruefenacht, Dieter Kranzlmüller, Laura Brandon Schulz:
Accelerating HPC With Quantum Computing: It Is a Software Challenge Too. Comput. Sci. Eng. 24(4): 60-64 (2022) - [j42]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - [j41]Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz:
Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments. Parallel Comput. 113: 102950 (2022) - [c228]Karlo Kraljic, Daniel Kerger, Martin Schulz:
Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems. ARCS 2022: 3-16 - [c227]Issa Saba, Eishi Arima, Dai Liu, Martin Schulz:
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. ARCS 2022: 51-67 - [c226]Roman Karlstetter, Robert Josef Widhopf-Fenk, Martin Schulz:
Querying Distributed Sensor Streams in the Edge-to-Cloud Continuum. EDGE 2022: 192-197 - [c225]Maron Schlemon, Martin Schulz, Rolf Scheiber:
Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing. HPEC 2022: 1-8 - [c224]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. ICPP Workshops 2022: 9:1-9:10 - [c223]Yi Ju, Amir Raoofy, Dai Yang, Erwin Laure, Martin Schulz:
Exploiting Reduced Precision for GPU-based Time Series Mining. IPDPS 2022: 124-134 - [c222]Dominik Huber, Maximilian Streubel, Isaías Comprés, Martin Schulz, Martin Schreiber, Howard Pritchard:
Towards Dynamic Resource Management with MPI Sessions and PMIx. EuroMPI 2022: 57-67 - [c221]Jan Fecht, Martin Schreiber, Martin Schulz, Howard Pritchard, Daniel J. Holmes:
An Emulation Layer for Dynamic Resources with MPI Sessions. ISC Workshops 2022: 147-161 - [c220]Eishi Arima, Isaías Comprés, Martin Schulz:
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. ISC Workshops 2022: 206-217 - [e9]Martin Schulz, Carsten Trinitis, Nikela Papadopoulou, Thilo Pionteck:
Architecture of Computing Systems - 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Proceedings. Lecture Notes in Computer Science 13642, Springer 2022, ISBN 978-3-031-21866-8 [contents] - [i11]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois C. Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. CoRR abs/2208.11311 (2022) - 2021
- [j40]Dominik Huber, Martin Schreiber, Martin Schulz:
Graph-based multi-core higher-order time integration of linear autonomous partial differential equations. J. Comput. Sci. 53: 101349 (2021) - [j39]Benjamin Zanger, Christian B. Mendl, Martin Schulz, Martin Schreiber:
Quantum Algorithms for Solving Ordinary Differential Equations via Classical Integration Methods. Quantum 5: 502 (2021) - [j38]Shinobu Miwa, Ignacio Laguna, Martin Schulz:
PredCom: A Predictive Approach to Collecting Approximated Communication Traces. IEEE Trans. Parallel Distributed Syst. 32(1): 45-58 (2021) - [j37]Martin Schulz, Kento Sato:
Guest Editorial: Special Issue on Computing Frontiers. J. Signal Process. Syst. 93(4): 389-390 (2021) - [c219]Roman Karlstetter, Amir Raoofy, Martin Radev, Carsten Trinitis, Jakob Hermann, Martin Schulz:
Living on the Edge: Efficient Handling of Large Scale Sensor Data. CCGRID 2021: 1-10 - [c218]Martin Schulz, Dieter Kranzlmüller, Laura Brandon Schulz, Carsten Trinitis, Josef Weidendorfer:
On the Inevitability of Integrated HPC Systems and How they will Change HPC System Operations. HEART 2021: 2:1-2:6 - [c217]Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz:
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data. IPDPS 2021: 2-12 - [c216]Martin Kronbichler, Niklas Fehn, Peter Munch, Maximilian Bergbauer, Karl-Robert Wichmann, Carolin Geitner, Momme Allalen, Martin Schulz, Wolfgang A. Wall:
A next-generation discontinuous galerkin fluid dynamics solver with application to high-resolution lung airflow simulations. SC 2021: 21 - [c215]David Hildenbrand, Martin Schulz:
virtio-mem: paravirtualized memory hot(un)plug. VEE 2021: 1-14 - [c214]Alexis Engelke, Dominik Okwieka, Martin Schulz:
Efficient LLVM-based dynamic binary translation. VEE 2021: 165-171 - [i10]Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz:
Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments. CoRR abs/2106.14423 (2021) - [i9]Philip H. Carns, Julian M. Kunkel, Kathryn M. Mohror, Martin Schulz:
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332). Dagstuhl Reports 11(7): 16-75 (2021) - 2020
- [j36]David E. Bernholdt, Swen Boehm, George Bosilca, Manjunath Gorentla Venkata, Ryan E. Grant, Thomas J. Naughton, Howard Pritchard, Martin Schulz, Geoffroy R. Vallée:
A survey of MPI usage in the US exascale computing project. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j35]Sourav Chakraborty, Ignacio Laguna, Murali Emani, Kathryn M. Mohror, Dhabaleswar K. Panda, Martin Schulz, Hari Subramoni:
EReinit: Scalable and efficient fault-tolerance for bulk-synchronous MPI applications. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j34]Bengisu Elis, Dai Yang, Olga Pearce, Kathryn M. Mohror, Martin Schulz:
QMPI: A next generation MPI profiling interface for modern HPC platforms. Parallel Comput. 96: 102635 (2020) - [j33]Shinobu Miwa, Masaya Ishihara, Hayato Yamaki, Hiroki Honda, Martin Schulz:
Footprint-Based DIMM Hotplug. IEEE Trans. Computers 69(2): 172-184 (2020) - [c213]Alessio Netti, Micha Müller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz:
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. HPDC 2020: 101-112 - [c212]Dominik Huber, Martin Schreiber, Dai Yang, Martin Schulz:
Cache-Aware Matrix Polynomials. ICCS (1) 2020: 132-146 - [c211]Ilkay Altintas, Dorian C. Arnold, Martin Schulz, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves:
Workshop 16: SNACS Scalable Networks for Advanced Computing Systems. IPDPS Workshops 2020: 868 - [c210]Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz:
Time Series Mining at Petascale Performance. ISC 2020: 104-123 - [c209]Gence Ozer, Alessio Netti, Daniele Tafani, Martin Schulz:
Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning. ISC Workshops 2020: 280-292 - [c208]Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz:
Footprint-Aware Power Capping for Hybrid Memory Based Systems. ISC 2020: 347-369 - [c207]Eishi Arima, Martin Schulz:
Pattern-Aware Staging for Hybrid Memory Systems. ISC 2020: 474-495 - [c206]Alexis Engelke, Martin Schulz:
Instrew: leveraging LLVM for high performance dynamic binary instrumentation. VEE 2020: 172-184 - [i8]Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz:
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data. CoRR abs/2010.06186 (2020) - [i7]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR abs/2010.13342 (2020)
2010 – 2019
- 2019
- [j32]Kento Sato, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Geof Sawaya, Joachim Protze, Dong H. Ahn:
Pruners. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j31]Marc-André Hermanns, Nathan T. Hjelm, Michael Knobloch, Kathryn M. Mohror, Martin Schulz:
The MPI_T events interface: An early evaluation and overview of the interface. Parallel Comput. 85: 119-130 (2019) - [c205]Alvaro Frank, Dai Yang, André Brinkmann, Martin Schulz, Tim Süß:
Reducing False Node Failure Predictions in HPC. HiPC 2019: 323-332 - [c204]Dimitrios Chasapis, Miquel Moretó, Martin Schulz, Barry Rountree, Mateo Valero, Marc Casas:
Power efficient job scheduling by predicting the impact of processor manufacturing variability. ICS 2019: 296-307 - [c203]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs. ICS 2019: 380-391 - [c202]Giorgis Georgakoudis, Ignacio Laguna, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Martin Schulz:
SAFIRE: Scalable and Accurate Fault Injection for Parallel Multithreaded Applications. IPDPS 2019: 890-899 - [c201]Dai Yang, Tilman Küstner, Rami G. Al Rihawi, Martin Schulz:
Exploring High Bandwidth Memory for PET Image Reconstruction. PARCO 2019: 219-228 - [c200]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs: poster. PPoPP 2019: 415-416 - [c199]Bengisu Elis, Dai Yang, Martin Schulz:
QMPI: a next generation MPI profiling interface for modern HPC platforms. EuroMPI 2019: 4:1-4:10 - [c198]David Jauk, Dai Yang, Martin Schulz:
Predicting faults in high performance computing systems: an in-depth survey of the state-of-the-practice. SC 2019: 30:1-30:13 - [c197]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:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c196]Alessio Netti, Micha Müller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz:
From facility to application sensor data: modular, continuous and holistic monitoring with DCDB. SC 2019: 64:1-64:27 - [e8]